J. Bezdek

J. Bezdek, L. Hall, A. Bensaid, 1994, NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intellige.

Web mining with relational clustering

Thomas A. Runkler, James C. Bezdek, J. Bezdek, 2003, Int. J. Approx. Reason..

A FUZZY GENERALIZED NEAREST PROTOTYPE CLASSIFIER

L I Kuncheva, J C Bezdek, J. Bezdek, 1997 .

Convergence theory for fuzzy c-means: Counterexamples and repairs

W. T. Tucker, Michael J. Sabin, J. Bezdek, 1987, IEEE Transactions on Systems, Man, and Cybernetics.

Estimating the parameters of mixture models with modal estimators

R. Redner, J. Bezdek, R. Hathaway, 1987 .

FUZZY QMODEL—A new approach for linear unmixing

J. Bezdek, W. Full, R. Ehrlich, 1982 .

Fuzzy partitions and relations; an axiomatic basis for clustering

J. Bezdek, J. D. Harris, J. Harris, 1978 .

Analysis of Streaming Clustering Using an Incremental Validity Index

James M. Keller, James C. Bezdek, Omar A. Ibrahim, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

James M. Keller, James C. Bezdek, Raghu Krisnapuram, 1999 .

12 IMAGE PROCESSING IN MEDICINE

J. Bezdek, M. Sutton, 2020 .

MISSING VALUE IMPUTATION USING FUZZY POSSIBILISTIC C MEANS OPTIMIZED WITH SUPPORT VECTOR REGRESSION AND GENETIC ALGORITHM

J. R. Llata, J. Keller, J. Bezdek, 2015 .

Clustering in ordered dissimilarity data

J. Keller, J. Bezdek, M. Popescu, 2009 .

Selective sampling for approximate clustering of very large data sets

J. Bezdek, C. Leckie, R. Kotagiri, 2008 .

Generalized k -nearest neighbor rules

J. Bezdek, S. Chuah, D. Leep, 1986 .

A mixed c-means clustering model

James C. Bezdek, Kuhu Pal, Nikhil R. Pal, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Application of Fuzzy-Set Clustering for Regional Typologies

James C. Bezdek, Thomas R. Harris, J. Bezdek, 1993 .

Iterates of fuzzy circulant matrices

J. Bezdek, N. Pal, R. Hemasinha, 1993 .

Features based Classification of Images using Weighted Feature Support Vector Machines

J. Bezdek, L. Clarke, L. Hall, 2016 .

Improved semi-supervised point-prototype clustering algorithms

James C. Bezdek, A. Bensaid, J. Bezdek, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

CLUSTERING IN BANACH SPACES

J. Bezdek, 1992 .

Ultrasound Cervical Cancer Based Abnormality Segmentation Using Adaptive Fuzzy C-Mean Clustering

J. Bezdek, R. Velthuizen, M. A., 2013 .

The case for genetic algorithms in fuzzy clustering

James C. Bezdek, Lawrence O. Hall, J. Bezdek, 1998 .

Modified Objective Function Algorithms

James C. Bezdek, J. Bezdek, 1981 .

Relational mountain (density) clustering method and web log analysis

James M. Keller, James C. Bezdek, Kuhu Pal, 2005, Int. J. Intell. Syst..

ity -Guided (Re)Clustering with plications to Image Segmentation

J. Bezdek, L. Clarke, A. Bensaid, 1996 .

Gene Ontology-based Knowledge Discovery Through Fuzzy Cluster Analysis

James M. Keller, James C. Bezdek, Nikhil R. Pal, 2005, Neural Parallel Sci. Comput..

Fast Cluster Tendency Assessment for Big, High-Dimensional Data

Marimuthu Palaniswami, James C. Bezdek, Punit Rathore, 2020, Fuzzy Approaches for Soft Computing and Approximate Reasoning.

Fuzzy models for pattern recognition : methods that search for structures in data

Sankar K. Pal, James C. Bezdek, J. Bezdek, 1992 .

PASI: Interpolation and Approximation in Fuzzy Rule Bases

László T. Kóczy, Piero P. Bonissone, Hani Hagras, 2011 .

DUAL OBJECT-RELATION CLUSTERING MODELS

J. Bezdek, R. Hathaway, 1990 .

Norm-induced shell-prototypes (NISP) clustering

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1995, Neural Parallel Sci. Comput..

(Mostly) Fuzzy Clustering in Very Large Data Sets

James C. Bezdek, J. Bezdek, 2010, IJCCI.

IEEE Fellows-Class of 2008 [Society Briefs]

James C. Bezdek, J. Bezdek, 2008, IEEE Comput. Intell. Mag..

Proceedings of the third IFSA congress : the coming of age of fuzzy logic

James C. Bezdek, Ifsa congress, J. Bezdek, 1989 .

A message from the editor

James C. Bezdek, J. Bezdek, 1987, Int. J. Approx. Reason..

Reply to "Comments on: optimality test for fixed points by Kim et al."

James C. Bezdek, Richard J. Hathaway, Taehwan Kim, 1990, Pattern Recognit..

Guest Editorial and Conference Report

James C. Bezdek, J. Bezdek, 1983, Int. J. Man Mach. Stud..

Evaluating Evolving Structure in Streaming Data With Modified Dunn's Indices

James M. Keller, James C. Bezdek, Omar A. Ibrahim, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Fuzzy C-means cluster analysis

James C. Bezdek, J. Bezdek, 2011, Scholarpedia.

Fuzzy mathematics in pattern classification

James C. Bezdek, J. Bezdek, 1973 .

C-means Clustering with the Ll and L∞ Norms

James C. Bezdek, Leon Bobrowski, J. Bezdek, 1991, IEEE Transactions on Systems, Man and Cybernetics.

=sq- Classification of Posture Maintenance Data with Fuzzy Clustering Algorithms Final Report

James C. Bezdek, J. Bezdek, 1992 .

Shape-Sphere: A metric space for analysing time series by their shape

Christopher Leckie, James C. Bezdek, Lars Kulik, 2022, Inf. Sci..

Fuzzy Models and Digital Signal Processing(for Pattern Recognition): Is This a Good Marriage?

James C. Bezdek, J. Bezdek, 1993 .

Analysis of hypertensive patients by the use of the Fuzzy ISODATA algorithm

James C. Bezdek, Wilfred A. Fordon, J. Bezdek, 1978 .

Local convergence of tri-level alternating optimization

James C. Bezdek, Richard J. Hathaway, Yingkang Hu, 2001, Neural Parallel Sci. Comput..

Classification of posture maintenance data with fuzzy clustering algorithms

James C. Bezdek, J. Bezdek, 1991 .

Computing with Uncertainty Combining fuzzy models with computational neural networks often improves computer performance in pattern recognition problems.

James C. Bezdek, J. Bezdek, 1992 .

An iterative procedure for minimizing a generalized sum-of-squared-errors clustering criterion

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1994, Neural Parallel Sci. Comput..

Pattern Recognition with Fuzzy Objective Function Algorithms

James C. Bezdek, J. Bezdek, 1981, Advanced Applications in Pattern Recognition.

Image Processing and Computer Vision

James M. Keller, James C. Bezdek, Nikhil R. Pal, 1999 .

New fuzzy model for edge detection

James C. Bezdek, Ramachandran Chandrasekhar, Yianni Attikiouzel, 1996, Defense + Commercial Sensing.

A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain

James C. Bezdek, Lawrence O. Hall, Amine Bensaid, 1992, IEEE Trans. Neural Networks.

Low-Level Segmentation of Aerial Images with Fuzzy Clustering

Mohan M. Trivedi, James C. Bezdek, J. Bezdek, 1986, IEEE Transactions on Systems, Man, and Cybernetics.

Visual Approaches for Exploratory Data Analysis: A Survey of the Visual Assessment of Clustering Tendency (VAT) Family of Algorithms

James C. Bezdek, Dheeraj Kumar, J. Bezdek, 2020, IEEE Systems, Man, and Cybernetics Magazine.

An Efficient Formulation of the Improved Visual Assessment of Cluster Tendency (iVAT) Algorithm

James C. Bezdek, Timothy C. Havens, J. Bezdek, 2012, IEEE Transactions on Knowledge and Data Engineering.

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2010, IEEE Transactions on Knowledge and Data Engineering.

Clustering in ordered dissimilarity data

James M. Keller, James C. Bezdek, Timothy C. Havens, 2009, Int. J. Intell. Syst..

Is VAT really single linkage in disguise?

James M. Keller, James C. Bezdek, Timothy C. Havens, 2009, Annals of Mathematics and Artificial Intelligence.

Automatically Determining the Number of Clusters in Unlabeled Data Sets

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2009, IEEE Transactions on Knowledge and Data Engineering.

Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2007, IEEE Transactions on Fuzzy Systems.

Scalable visual assessment of cluster tendency for large data sets

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2006, Pattern Recognit..

bigVAT: Visual assessment of cluster tendency for large data sets

Jacalyn M. Huband, James C. Bezdek, Richard J. Hathaway, 2005, Pattern Recognit..

Approximating Dunn’s Cluster Validity Indices for Partitions of Big Data

Marimuthu Palaniswami, James C. Bezdek, Punit Rathore, 2019, IEEE Transactions on Cybernetics.

Maximin Initialization for Cluster Analysis

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2006, CIARP.

Experiments with Maximin Sampling

James C. Bezdek, Mihail Popescu, James Keller, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Review of Probabilistic, Fuzzy, and Neural Models for Pattern Recognition

James C. Bezdek, J. Bezdek, 1996, J. Intell. Fuzzy Syst..

Image segmentation using fuzzy LVQ clustering networks

James C. Bezdek, Nikhil R. Pal, Eric Chen-Kuo Tsao, 1992 .

Fuzzy Kohonen clustering networks

James C. Bezdek, Nikhil R. Pal, E.C.-K. Tsao, 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

Pattern recognition, neural networks, and artificial intelligence

James C. Bezdek, J. Bezdek, 1991, Defense, Security, and Sensing.

SELF-ORGANIZATION AND CLUSTERING N 91-21783 ALGORITHMS

J. Bezdek, 2022 .

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection

Christopher Leckie, James C. Bezdek, Shanika Karunasekera, 2019, ECML/PKDD.

Optimizing the C Index Using a Canonical Genetic Algorithm

Thomas A. Runkler, James C. Bezdek, J. Bezdek, 2019, EvoApplications.

The Generalized C Index for Internal Fuzzy Cluster Validity

Thomas A. Runkler, Christopher Leckie, James C. Bezdek, 2016, IEEE Transactions on Fuzzy Systems.

A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data

James C. Bezdek, Timothy C. Havens, J. Bezdek, 2012, Int. J. Intell. Syst..

(Computational) Intelligence: What's in a Name?

James C. Bezdek, J. Bezdek, 2016, IEEE Systems, Man, and Cybernetics Magazine.

Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2002, Pattern Recognit. Lett..

Estimating the Number of Components in a Normal Mixture

J. Bezdek, Y. Attikiouzel, Wanqing Li, 1996 .

Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions

James C. Bezdek, Joseph C. Dunn, J. Dunn, 1975, IEEE Transactions on Computers.

Dynamic image sequence analysis using fuzzy measures

James M. Keller, Cishen Zhang, Leonard T. Bruton, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Decision templates for multiple classifier fusion: an experimental comparison

James C. Bezdek, Robert P. W. Duin, Ludmila I. Kuncheva, 2001, Pattern Recognit..

A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks

Marimuthu Palaniswami, Kotagiri Ramamohanarao, Christopher Leckie, 2013, IEEE Transactions on Fuzzy Systems.

Clustering and visualization of fuzzy communities in social networks

Marimuthu Palaniswami, James Bailey, Kotagiri Ramamohanarao, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2018, ECML/PKDD.

Clustering ellipses for anomaly detection

Marimuthu Palaniswami, James M. Keller, Christopher Leckie, 2011, Pattern Recognit..

Relational duals of the c-means clustering algorithms

James C. Bezdek, John W. Davenport, Richard J. Hathaway, 1989, Pattern Recognit..

Fuzzy models—What are they, and why? [Editorial]

James C. Bezdek, J. Bezdek, 1993, IEEE Transactions on Fuzzy Systems.

Generalized clustering networks and Kohonen's self-organizing scheme

James C. Bezdek, Nikhil R. Pal, Eric Chen-Kuo Tsao, 1993, IEEE Trans. Neural Networks.

Some new indexes of cluster validity

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Comparing soft clusters and partitions

Ozy Sjahputera, James M. Keller, James C. Bezdek, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Comparing Fuzzy, Probabilistic, and Possibilistic Partitions

James M. Keller, James C. Bezdek, Derek Anderson, 2010, IEEE Transactions on Fuzzy Systems.

A Comparison of Five Fuzzy Rand Indices

James M. Keller, James C. Bezdek, Derek Anderson, 2010, IPMU.

Incremental Kernel Fuzzy c-Means

Marimuthu Palaniswami, James C. Bezdek, Timothy C. Havens, 2010, IJCCI.

Some new competitive learning schemes

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1995, SPIE Defense + Commercial Sensing.

Objective Function Clustering

James C. Bezdek, J. Bezdek, 1981 .

On cluster validity for the fuzzy c-means model

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 1995, IEEE Trans. Fuzzy Syst..

Estimating Generalized Dunn's Cluster Validity Indices for Big Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Interpreting Cluster Structure in Waveform Data with Visual Assessment and Dunn’s Index

James C. Bezdek, Milos R. Popovic, Taufik A. Valiante, 2018 .

A new cluster validity measure for bioinformatics relational datasets

James M. Keller, James C. Bezdek, Timothy C. Havens, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1996, Neural Networks.

Fuzzy models for pattern recognition

Sankar K. Pal, James C. Bezdek, J. Bezdek, 1992 .

Ground truth bias in external cluster validity indices

Yang Lei, James Bailey, James C. Bezdek, 2016, Pattern Recognit..

Two generalizations of Kohonen clustering

James C. Bezdek, Nikhil R. Pal, Eric Chen-Kuo Tsao, 1993 .

Improving convergence and performance of Kohonen's self-organizing scheme

James C. Bezdek, Nikhil R. Pal, Eric C.K. Tsao, 1992, Defense, Security, and Sensing.

Computing with uncertainty

J.C. Bezdek, J. Bezdek, 1992, IEEE Communications Magazine.

Complexity reduction for "large image" processing

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 2002, IEEE Trans. Syst. Man Cybern. Part B.

Streaming Data Analysis: Clustering or Classification?

James M. Keller, James C. Bezdek, J. Keller, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Fuzzy Clustering: A Historical Perspective

James M. Keller, James C. Bezdek, Enrique H. Ruspini, 2019, IEEE Computational Intelligence Magazine.

Fuzzy c-means clustering of incomplete data

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Relational data clustering with incomplete data

James C. Bezdek, Thomas E. Murphy, Richard J. Hathaway, 2001, SPIE Defense + Commercial Sensing.

Word recognition using fuzzy logic

James C. Bezdek, Richard Buse, Zhi-Qiang Liu, 2002, IEEE Trans. Fuzzy Syst..

Evolving Fuzzy Rules for Anomaly Detection in Data Streams

Marimuthu Palaniswami, James C. Bezdek, Shanika Karunasekera, 2015, IEEE Transactions on Fuzzy Systems.

A geometric approach to cluster validity for normal mixtures

James C. Bezdek, Wanqing Li, Yianni Attikiouzel, 1997, Soft Comput..

Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2010, IEEE Transactions on Information Forensics and Security.

Analysis of Anomalies in IBRL Data from a Wireless Sensor Network Deployment

M. Palaniswami, C. Leckie, J.C. Bezdek, 2007, 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007).

Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2007, 2007 IEEE International Conference on Communications.

Distributed Anomaly Detection in Wireless Sensor Networks

M. Palaniswami, C. Leckie, J.C. Bezdek, 2006, 2006 10th IEEE Singapore International Conference on Communication Systems.

Validity-guided (re)clustering with applications to image segmentation

James C. Bezdek, Lawrence O. Hall, Amine Bensaid, 1996, IEEE Trans. Fuzzy Syst..

Cluster Analysis for Relational Data

James M. Keller, James C. Bezdek, Nikhil R. Pal, 1999 .

Review of MR image segmentation techniques using pattern recognition.

L O Hall, L P Clarke, J C Bezdek, 1993, Medical physics.

The posterity of Zadeh's 50-year-old paper

James C. Bezdek, Didier Dubois, Henri Prade, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Clustering with relational c-means partitions from pairwise distance data

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1987 .

A parametric model for fusing heterogeneous fuzzy data

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, 1996, IEEE Trans. Fuzzy Syst..

FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things

Lingjuan Lyu, Jiong Jin, James C. Bezdek, 2020, IEEE Journal on Selected Areas in Communications.

Two nonparametric models for fusing heterogeneous fuzzy data

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, 1998, IEEE Trans. Fuzzy Syst..

Fuzzy c-Means Algorithms for Very Large Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2012, IEEE Transactions on Fuzzy Systems.

Automatic keyword extraction with relational clustering and Levenshtein distances

Thomas A. Runkler, J. C. Bezdek, J. Bezdek, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

An application of the c-varieties clustering algorithms to polygonal curve fitting

James C. Bezdek, Ian Anderson, J. Bezdek, 1985, IEEE Transactions on Systems, Man, and Cybernetics.

A Scalable Framework for Trajectory Prediction

Marimuthu Palaniswami, James C. Bezdek, Dheeraj Kumar, 2018, IEEE Transactions on Intelligent Transportation Systems.

Extending Information-Theoretic Validity Indices for Fuzzy Clustering

James C. Bezdek, Yang Lei, James Bailey, 2017, IEEE Transactions on Fuzzy Systems.

A Hybrid Approach to Clustering in Big Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2016, IEEE Transactions on Cybernetics.

A possibilistic fuzzy c-means clustering algorithm

James M. Keller, James C. Bezdek, Kuhu Pal, 2005, IEEE Transactions on Fuzzy Systems.

Should Tendency Assessment Precede Rule Extraction by Clustering? (No!)

Thomas A. Runkler, James C. Bezdek, Kuhu Pal, 2002, Advances in Computational Intelligence and Learning.

Alternating cluster estimation: a new tool for clustering and function approximation

Thomas A. Runkler, James C. Bezdek, J. Bezdek, 1999, IEEE Trans. Fuzzy Syst..

Some issues in system identification using clustering

Thomas A. Runkler, James C. Bezdek, Kuhu Pal, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Clustering with a genetically optimized approach

James C. Bezdek, Lawrence O. Hall, Ibrahim Burak Özyurt, 1999, IEEE Trans. Evol. Comput..

Computational Intelligence Defined - By Everyone !

James C. Bezdek, J. Bezdek, 1998 .

Hybrid modeling in pattern recognition and control

James C. Bezdek, J. Bezdek, 1995, Knowl. Based Syst..

SpecVAT: Enhanced Visual Cluster Analysis

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Exponentially Weighted Ellipsoidal Model for Anomaly Detection

Christopher Leckie, James C. Bezdek, Masud Moshtaghi, 2017, Int. J. Intell. Syst..

Partially supervised clustering for image segmentation

James C. Bezdek, Lawrence O. Hall, Amine Bensaid, 1996, Pattern Recognit..

Optimization of clustering criteria by reformulation

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1995, IEEE Trans. Fuzzy Syst..

Correlation cluster validity

James M. Keller, James C. Bezdek, Timothy C. Havens, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

VCV2 - Visual Cluster Validity

James C. Bezdek, Jacalyn M. Huband, J. Bezdek, 2008, WCCI.

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

James C. Bezdek, Sutharshan Rajasegarar, Shanika Karunasekera, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Elliptical anomalies in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2009, TOSN.

Multidimensional scaling with multiswarming

Thomas A. Runkler, James C. Bezdek, J. Bezdek, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Relational Duals of Cluster-Validity Functions for the $c$ -Means Family

James M. Keller, James C. Bezdek, Timothy C. Havens, 2010, IEEE Transactions on Fuzzy Systems.

A relational dual of the fuzzy possibilistic c-means algorithm

James M. Keller, James C. Bezdek, Timothy C. Havens, 2010, International Conference on Fuzzy Systems.

Uncertainty measures for evidential reasoning II: A new measure of total uncertainty

James C. Bezdek, Nikhil R. Pal, Rohan Hemasinha, 1993, Int. J. Approx. Reason..

An index of topological preservation and its application to self-organizing feature maps

James C. Bezdek, N. R. Pal, J. Bezdek, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Will the real iris data please stand up?

James M. Keller, James C. Bezdek, Nikhil R. Pal, 1999, IEEE Trans. Fuzzy Syst..

Anomaly Detection in Environmental Monitoring Networks [Application Notes]

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2011, IEEE Computational Intelligence Magazine.

Optimality tests for fixed points of the fuzzy c-means algorithm

James C. Bezdek, Richard J. Hathaway, Taehwan Kim, 1988, Pattern Recognit..

Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Cluster validation with generalized Dunn's indices

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 1995, Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2016, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Partitioning the variables for alternating optimization of real-valued scalar fields

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

Some Notes on Alternating Optimization

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2002, AFSS.

Convex decompositions of fuzzy partitions

J. Bezdek, J. Harris, 1979 .

Feature selection for binary data: medical diagnosis with fuzzy sets

James C. Bezdek, J. Bezdek, 1976, AFIPS '76.

Cluster Analysis for Object Data

James M. Keller, James C. Bezdek, Nikhil R. Pal, 1999 .

On the extension of fuzzy k-means algorithms for detection of linear clusters

Robert Ehrlich, James Bezdek, J. Bezdek, 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

Online cluster validity indices for performance monitoring of streaming data clustering

James Bailey, Christopher Leckie, James C. Bezdek, 2018, Int. J. Intell. Syst..

Online Clustering of Multivariate Time-series

Christopher Leckie, James C. Bezdek, Masud Moshtaghi, 2016, SDM.

Generalized information theoretic cluster validity indices for soft clusterings

James Bailey, James C. Bezdek, Xuan Vinh Nguyen, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Statistical parameters of cluster validity functionals

James C. Bezdek, Michael P. Windham, Robert Ehrlich, 1980, International Journal of Computer & Information Sciences.

Scalable single linkage hierarchical clustering for big data

Marimuthu Palaniswami, James C. Bezdek, Timothy C. Havens, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Nearest prototype classifier designs: An experimental study

James C. Bezdek, Ludmila I. Kuncheva, J. Bezdek, 2001, Int. J. Intell. Syst..

iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2010, PAKDD.

Fuzzy cluster analysis of bioinformatics data composed of microarray expression data and gene ontology annotations

J.C. Bezdek, J.M. Keller, T.C. Havens, 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

Measuring fuzzy uncertainty

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 1994, IEEE Trans. Fuzzy Syst..

Nearest prototype classification: clustering, genetic algorithms, or random search?

James C. Bezdek, Ludmila I. Kuncheva, J. Bezdek, 1998, IEEE Trans. Syst. Man Cybern. Part C.

Tensor Space Learning for Analyzing Activity Patterns from Video Sequences

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Privacy-preserving collaborative fuzzy clustering

Marimuthu Palaniswami, Lingjuan Lyu, Yee Wei Law, 2018, Data Knowl. Eng..

Generation of prototypes from sets of linguistic summaries

Anna Wilbik, James M. Keller, James C. Bezdek, 2012, 2012 IEEE International Conference on Fuzzy Systems.

An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering

James C. Bezdek, Nicolaos B. Karayiannis, J. Bezdek, 1997, IEEE Trans. Fuzzy Syst..

Prototype classification and feature selection with fuzzy sets

James C. Bezdek, Patrick F. Castelaz, J. Bezdek, 1977, IEEE Transactions on Systems, Man, and Cybernetics.

Parametric estimation for normal mixtures

James C. Bezdek, Richard J. Hathaway, Vicki J. Huggins, 1985, Pattern Recognit. Lett..

Comparison of scalable fuzzy clustering methods

James C. Bezdek, Lawrence O. Hall, Jonathon K. Parker, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Visual Assessment of Clustering Tendency for Incomplete Data

Marimuthu Palaniswami, James Bailey, Kotagiri Ramamohanarao, 2016, IEEE Transactions on Knowledge and Data Engineering.

Function approximation with polynomial membership functions and alternating cluster estimation

Thomas A. Runkler, James C. Bezdek, J. Bezdek, 1999, Fuzzy Sets Syst..

Gene Ontology Similarity Measures Based on Linear Order Statistics

James M. Keller, James C. Bezdek, Nikhil R. Pal, 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A weighted multiple classifier framework based on random projection

Alan Wee-Chung Liew, James C. Bezdek, Tien Thanh Nguyen, 2019, Inf. Sci..

Local convergence of the fuzzy c-Means algorithms

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1986, Pattern Recognit..

Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2011, 2011 IEEE 11th International Conference on Data Mining.

Clustering elliptical anomalies in sensor networks

James M. Keller, Christopher Leckie, James C. Bezdek, 2010, International Conference on Fuzzy Systems.

Streaming analysis in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2014, Wirel. Commun. Mob. Comput..

A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data

Marimuthu Palaniswami, James C. Bezdek, Dheeraj Kumar, 2019, IEEE Transactions on Knowledge and Data Engineering.

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections

Marimuthu Palaniswami, James C. Bezdek, Sutharshan Rajasegarar, 2018, IEEE Transactions on Fuzzy Systems.

Relational Generalizations of Cluster Validity Indices

James M. Keller, James C. Bezdek, Timothy C. Havens, 2010, IEEE Transactions on Fuzzy Systems.

Generalized fuzzy c-means clustering strategies using Lp norm distances

James C. Bezdek, Richard J. Hathaway, Yingkang Hu, 2000, IEEE Trans. Fuzzy Syst..

A visual-numeric approach to clustering and anomaly detection for trajectory data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2017, The Visual Computer.

Kernelized Non-Euclidean Relational Fuzzy c-Means Algorithm

R.J. Hathaway, J.M. Huband, J.C. Bezdek, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Kernelized Non-Euclidean Relational c-Means Algorithms

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2005, Neural Parallel Sci. Comput..

An index of topological preservation for feature extraction

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 1995, Pattern Recognit..

A geometric approach to edge detection

James C. Bezdek, Ramachandran Chandrasekhar, Yianni Attikouzel, 1998, IEEE Trans. Fuzzy Syst..

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract)

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2016, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Dunn’s cluster validity index as a contrast measure of VAT images

James M. Keller, James C. Bezdek, Timothy C. Havens, 2008, 2008 19th International Conference on Pattern Recognition.

Extending fuzzy and probabilistic clustering to very large data sets

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2006, Comput. Stat. Data Anal..

Comparison of supervised MRI segmentation methods for tumor volume determination during therapy.

R P Velthuizen, S Phuphanich, L O Hall, 1995, Magnetic resonance imaging.

Numerical convergence and interpretation of the fuzzy c-shells clustering algorithm

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1992, IEEE Trans. Neural Networks.

Models for Pattern Recognition

James C. Bezdek, J. Bezdek, 1981 .

Clustering tendency assessment for datasets having inter-cluster density variations

James C. Bezdek, Dheeraj Kumar, J. Bezdek, 2020, 2020 International Conference on Signal Processing and Communications (SPCOM).

A Cluster Validity Framework Based on Induced Partition Dissimilarity

James M. Keller, James C. Bezdek, Timothy C. Havens, 2013, IEEE Transactions on Cybernetics.

Linguistic Prototypes for Data From Eldercare Residents

Anna Wilbik, James M. Keller, James C. Bezdek, 2014, IEEE Transactions on Fuzzy Systems.

A note on self-organizing semantic maps

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 1995, IEEE Trans. Neural Networks.

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Christopher Leckie, James C. Bezdek, Shanika Karunasekera, 2020, IEEE Transactions on Knowledge and Data Engineering.

Dealing with Inliers in Feature Vector Data

Marimuthu Palaniswami, Kotagiri Ramamohanarao, Christopher Leckie, 2018, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2016, Australasian Conference on Artificial Intelligence.

Medical image analysis with fuzzy models

L O Hall, L P Clarke, J C Bezdek, 1997, Statistical methods in medical research.

Image Processing in Medicine

James C. Bezdek, Melanie A. Sutton, J. Bezdek, 1999 .

Repairs to GLVQ: a new family of competitive learning schemes

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1996, IEEE Trans. Neural Networks.

Experiments with Dissimilarity Measures for Clustering Waveform Data from Wearable Sensors

Marimuthu Palaniswami, James C. Bezdek, Shreyasi Datta, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

On the asymptotic properties of fuzzy c-means cluster prototypes as estimators of mixture subpopulation centers

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1986 .

Fog-Embedded Deep Learning for the Internet of Things

Lingjuan Lyu, Jiong Jin, James C. Bezdek, 2019, IEEE Transactions on Industrial Informatics.

Quantitative and qualitative comparison of periodic sensor data

James M. Keller, James C. Bezdek, Akshay Jain, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Finding the number of clusters in ordered dissimilarities

James M. Keller, James C. Bezdek, Timothy C. Havens, 2009, Soft Comput..

Improvements to the relational fuzzy c-means clustering algorithm

James M. Keller, James C. Bezdek, Mohammad Khalilia, 2014, Pattern Recognit..

Some Notes on Twenty One (21) Nearest Prototype Classifiers

James C. Bezdek, Ludmila I. Kuncheva, J. Bezdek, 2000, SSPR/SPR.

On relational data versions of c-means algorithms

James C. Bezdek, John W. Davenport, Richard J. Hathaway, 1996, Pattern Recognit. Lett..

Nerf c-means: Non-Euclidean relational fuzzy clustering

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1994, Pattern Recognit..

Numerical comparison of the RFCM and AP algorithms for clustering relational data

James C. Bezdek, Richard J. Hathaway, Michael P. Windham, 1991 .

Approximate Spectral Clustering

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2009, PAKDD.

Optimization of fuzzy clustering criteria using genetic algorithms

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Image Processing and Computer Vision

J. Keller, J. Bezdek, N. Pal, 1999 .

Structural failure determination with fuzzy sets

James C. Bezdek, Timothy J. Ross, Norah T. Grimball, 1986 .

Quantifying Different Facets of Fuzzy Uncertainty

James C. Bezdek, Nikhil R. Pal, J. Bezdek, 2000 .

An ensemble-based online learning algorithm for streaming data pdf

Alan Wee-Chung Liew, James C. Bezdek, Tien Thanh Nguyen, 2017, ArXiv.

Generalized Deep Embedded Fuzzy C-Means for Clustering High-Dimensional Data

J. Bezdek, Omar A. Ibrahim, Jianxi Wang, 2024, 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Revised Visual Assessment of (Cluster) Tendency (reVAT)

R.J. Hathaway, J.M. Huband, J.C. Bezdek, 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

Visual cluster validity for prototype generator clustering models

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2003, Pattern Recognit. Lett..