Kernel-based multiobjective clustering algorithm with automatic attribute weighting

[1]  Dervis Karaboga,et al.  A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number , 2017, Swarm Evol. Comput..

[2]  A. K. Alok,et al.  Multi-objective semi-supervised clustering for automatic pixel classification from remote sensing imagery , 2016, Soft Comput..

[3]  Patrick Siarry,et al.  Multiobjective improved spatial fuzzy c-means clustering for image segmentation combining Pareto-optimal clusters , 2016, J. Heuristics.

[4]  Yuan Zhang,et al.  Fuzzy clustering with the entropy of attribute weights , 2016, Neurocomputing.

[5]  Asif Ekbal,et al.  Brain image segmentation using semi-supervised clustering , 2016, Expert Syst. Appl..

[6]  Zhaohong Deng,et al.  Distance metric learning for soft subspace clustering in composite kernel space , 2016, Pattern Recognit..

[7]  Wilfrido Gómez-Flores,et al.  Automatic clustering using nature-inspired metaheuristics: A survey , 2016, Appl. Soft Comput..

[8]  Francisco de A. T. de Carvalho,et al.  Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables , 2016, Pattern Recognit..

[9]  Michael K. Ng,et al.  Subspace clustering with automatic feature grouping , 2015, Pattern Recognit..

[10]  L. Jiao,et al.  Synergy of two mutations based immune multi-objective automatic fuzzy clustering algorithm , 2015, Knowledge and Information Systems.

[11]  Mehmet Çunkas,et al.  Color image segmentation based on multiobjective artificial bee colony optimization , 2015, Appl. Soft Comput..

[12]  Chih-Hung Wu,et al.  A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering , 2015, IEEE Transactions on Fuzzy Systems.

[13]  Hanqiang Liu,et al.  A multiobjective spatial fuzzy clustering algorithm for image segmentation , 2015, Appl. Soft Comput..

[14]  R. J. Kuo,et al.  Non-dominated sorting genetic algorithm using fuzzy membership chromosome for categorical data clustering , 2015, Appl. Soft Comput..

[15]  Sanghamitra Bandyopadhyay,et al.  Simultaneous feature selection and symmetry based clustering using multiobjective framework , 2015, Appl. Soft Comput..

[16]  Liangpei Zhang,et al.  Adaptive Multiobjective Memetic Fuzzy Clustering Algorithm for Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Jay Prakash,et al.  An effective multiobjective approach for hard partitional clustering , 2015, Memetic Computing.

[18]  Siripen Wikaisuksakul,et al.  A multi-objective genetic algorithm with fuzzy c-means for automatic data clustering , 2014, Appl. Soft Comput..

[19]  Yunming Ye,et al.  DSKmeans: A new kmeans-type approach to discriminative subspace clustering , 2014, Knowl. Based Syst..

[20]  Francisco de A. T. de Carvalho,et al.  Kernel-based hard clustering methods in the feature space with automatic variable weighting , 2014, Pattern Recognit..

[21]  Yunming Ye,et al.  Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[22]  Jiye Liang,et al.  The k-modes type clustering plus between-cluster information for categorical data , 2014, Neurocomputing.

[23]  Ujjwal Maulik,et al.  Incremental learning based multiobjective fuzzy clustering for categorical data , 2014, Inf. Sci..

[24]  Jian Ji,et al.  A Robust Nonlocal Fuzzy Clustering Algorithm With Between-Cluster Separation Measure for SAR Image Segmentation , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[25]  Yang Wang,et al.  Multi-objective evolutionary for synthetic aperture radar image segmentation with non-local means denoising , 2014, Natural Computing.

[26]  Francisco de A. T. de Carvalho,et al.  Kernel fuzzy c-means with automatic variable weighting , 2014, Fuzzy Sets Syst..

[27]  Alvaro Garcia-Piquer,et al.  Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering , 2014, IEEE Transactions on Evolutionary Computation.

[28]  Sanghamitra Bandyopadhyay,et al.  Gene expression data clustering using a multiobjective symmetry based clustering technique , 2013, Comput. Biol. Medicine.

[29]  Jian Zhuang,et al.  Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data , 2013, Pattern Recognit..

[30]  Jiye Liang,et al.  A novel fuzzy clustering algorithm with between-cluster information for categorical data , 2013, Fuzzy Sets Syst..

[31]  Liangpei Zhang,et al.  Automatic Fuzzy Clustering Based on Adaptive Multi-Objective Differential Evolution for Remote Sensing Imagery , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[32]  G. Corral,et al.  Data classification through an evolutionary approach based on multiple criteria , 2012, Knowledge and Information Systems.

[33]  Longbing Cao,et al.  Multiobjective evolutionary algorithm-based soft subspace clustering , 2012, 2012 IEEE Congress on Evolutionary Computation.

[34]  Renato Cordeiro de Amorim,et al.  Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering , 2012, Pattern Recognit..

[35]  Jiye Liang,et al.  A novel attribute weighting algorithm for clustering high-dimensional categorical data , 2011, Pattern Recognit..

[36]  Fang Liu,et al.  Artificial immune multi-objective SAR image segmentation with fused complementary features , 2011, Inf. Sci..

[37]  Hoel Le Capitaine,et al.  A Cluster-Validity Index Combining an Overlap Measure and a Separation Measure Based on Fuzzy-Aggregation Operators , 2011, IEEE Transactions on Fuzzy Systems.

[38]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[39]  Ujjwal Maulik,et al.  A new multi-objective technique for differential fuzzy clustering , 2011, Appl. Soft Comput..

[40]  André L. V. Coelho,et al.  Inducing multi-objective clustering ensembles with genetic programming , 2010, Neurocomputing.

[41]  Zhaohong Deng,et al.  Enhanced soft subspace clustering integrating within-cluster and between-cluster information , 2010, Pattern Recognit..

[42]  Witold Pedrycz,et al.  Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study , 2010, Fuzzy Sets Syst..

[43]  Ujjwal Maulik,et al.  Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes , 2009, IEEE Transactions on Evolutionary Computation.

[44]  Jianhong Wu,et al.  A convergence theorem for the fuzzy subspace clustering (FSC) algorithm , 2008, Pattern Recognit..

[45]  Michael K. Ng,et al.  An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data , 2007, IEEE Transactions on Knowledge and Data Engineering.

[46]  Joshua D. Knowles,et al.  An Evolutionary Approach to Multiobjective Clustering , 2007, IEEE Transactions on Evolutionary Computation.

[47]  Sergei Vassilvitskii,et al.  k-means++: the advantages of careful seeding , 2007, SODA '07.

[48]  Shitong Wang,et al.  Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets , 2006, Soft Comput..

[49]  Yves Lechevallier,et al.  New clustering methods for interval data , 2006, Comput. Stat..

[50]  Michael K. Ng,et al.  Automated variable weighting in k-means type clustering , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[51]  Jian Yu,et al.  A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests , 2005, Pattern Recognit. Lett..

[52]  Carla E. Brodley,et al.  Solving cluster ensemble problems by bipartite graph partitioning , 2004, ICML.

[53]  Michael K. Ng,et al.  An optimization algorithm for clustering using weighted dissimilarity measures , 2004, Pattern Recognit..

[54]  Joydeep Ghosh,et al.  Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..

[55]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[56]  Michalis Vazirgiannis,et al.  Clustering validity assessment: finding the optimal partitioning of a data set , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[57]  Ujjwal Maulik,et al.  Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II , 2014, IEEE Transactions on Evolutionary Computation.

[58]  Sriparna Saha,et al.  A generalized automatic clustering algorithm in a multiobjective framework , 2013, Appl. Soft Comput..

[59]  Ujjwal Maulik,et al.  An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns , 2013, IEEE Transactions on Biomedical Engineering.

[60]  Ujjwal Maulik,et al.  A multiobjective approach to MR brain image segmentation , 2011, Appl. Soft Comput..

[61]  R. Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .