S. Miyamoto

Sadaaki Miyamoto, S. Miyamoto, K. Umayahara, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Fuzzy clustering by quadratic regularization

Sadaaki Miyamoto, S. Miyamoto, K. Umayahara, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

A View of Studies on Bibliometrics and Related Subjects in Japan

Sadaaki Miyamoto, Nobuyuki Midorikawa, S. Miyamoto, 1989 .

Identification of distributed systems and the theory of the regularization

Y. Sawaragi, S. Miyamoto, S. Ikeda, 1978 .

Clustering Algorithms and Kernel Functions

Sadaaki Miyamoto, S. Miyamoto, 2009 .

Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range

Sadaaki Miyamoto, Yasushi Hasegawa, Yukihiro Hamasuna, 2008, J. Adv. Comput. Intell. Intell. Informatics.

Curry and Fitch on Paradox

S. Miyamoto, S. Akama, 2008 .

Indexed rough approximations and generalized possibility theory

S. Miyamoto, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

Crisp and Fuzzy Granular Hierarchical Structures Generated from a Free Monoid

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo, 2014, J. Adv. Comput. Intell. Intell. Informatics.

Rough Sets and Current Trends in Computing: 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings (Lecture Notes in Computer Science)

R. Słowiński, M. Inuiguchi, S. Hirano, 2006 .

Fuzzy Computation in Practice

Sadaaki Miyamoto, Waldemar Karwowski, Piero P. Bonissone, 1998 .

State estimation formula for a parabolic system with unknown input function

Y. Sawaragi, S. Miyamoto, 1979 .

Effect of methyl p-hydroxybenzoate on the culture of mammalian cell.

S. Miyamoto, M. Gamo, Hiroaki Sato, 2017, Drug discoveries & therapeutics.

Fuzzy Sets in Information Retrieval and Cluster Analysis

Sadaaki Miyamoto, S. Miyamoto, 1990, Theory and Decision Library.

Fuzzy Clustering for Detecting Linear Structures with Different Dimensions

Sadaaki Miyamoto, Yoshiteru Nakamori, Kazutaka Umayahara, 1999, J. Adv. Comput. Intell. Intell. Informatics.

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data

Sadaaki Miyamoto, Yuchi Kanzawa, Yasunori Endo, 2011, J. Adv. Comput. Intell. Intell. Informatics.

On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2012, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzy Clustering of Data with Interval Uncertainties

Sadaaki Miyamoto, Osamu Takata, S. Miyamoto, 2000 .

Different generalizations of bags

S. Miyamoto, 2011, Annals of Operations Research.

Editorial: Special Issue on Selected Papers from SCIS & ISIS 2002

Sadaaki Miyamoto, Seiji Yasunobu, S. Miyamoto, 2003, J. Adv. Comput. Intell. Intell. Informatics.

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, 2009 IEEE International Conference on Granular Computing.

On Tolerant Fuzzy c-Means Clustering with L1-Regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, IFSA/EUSFLAT Conf..

Methods in Hard and Fuzzy Clustering

Sadaaki Miyamoto, Kazutaka Umayahara, S. Miyamoto, 2000 .

Fuzzy Clustering - Basic Ideas and Overview

Sadaaki Miyamoto, S. Miyamoto, 2015, Handbook of Computational Intelligence.

An Overview of Hierarchical and Non-hierarchical Algorithms of Clustering for Semi-supervised Classification

Sadaaki Miyamoto, S. Miyamoto, 2012, MDAI.

Two Classes of Algorithms for Data Clustering

Sadaaki Miyamoto, S. Miyamoto, 2011, IUKM.

Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making

Sadaaki Miyamoto, S. Miyamoto, 2009, MDAI.

Inner Product Space Based on Fuzzy Neighborhoods for Text Data Analysis

Sadaaki Miyamoto, Yuichi Kawasaki, S. Miyamoto, 2009 .

Soft Computing and Human-Centered Machines

T. Kunii, S. Miyamoto, Zhi-Qiang Liu, 2013, Computer Science Workbench.

Exploration of textual document archives using a fuzzy hierarchical clustering algorithm in the GAMBAL system

Sadaaki Miyamoto, Vicenç Torra, Sergi Lanau, 2005, Inf. Process. Manag..

Identification of RNA biomarkers for chemical safety screening in mouse embryonic stem cells using RNA deep sequencing analysis

S. Miyamoto, M. Gamo, Hiroaki Sato, 2017, PloS one.

Genome-wide gene expression analysis of mouse embryonic stem cells exposed to p-dichlorobenzene.

S. Miyamoto, M. Gamo, M. Torimura, 2016, Journal of bioscience and bioengineering.

Cluster Analysis as a Tool of Interpretation of Complex Systems

Sadaaki Miyamoto, S. Miyamoto, 1987 .

Shape Design, Representation, and Restoration with Splines

Y. Ikebe, S. Miyamoto, Y. Ikebe, 1982 .

Directed Graph Representations of Association Structures: A Systematic Approach

Sadaaki Miyamoto, Ko Oi, Osamu Abe, 1986, IEEE Transactions on Systems, Man, and Cybernetics.

A directed graph representation based on a statistical hypothesis testing and application to citation and association structures

Sadaaki Miyamoto, Kazuhiko Nakayama, S. Miyamoto, 1984, IEEE Transactions on Systems, Man, and Cybernetics.

An overview and new methods in fuzzy clustering

Sadaaki Miyamoto, S. Miyamoto, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Indexed rough approximations, a polymodal system, and generalized possibility measures

S. Miyamoto, 2002 .

Lattice-valued possibility measures on the basis of multimodal logic

S. Miyamoto, 1997, Proceedings of the 36th SICE Annual Conference. International Session Papers.

Multisets and Fuzzy Multisets

Sadaaki Miyamoto, S. Miyamoto, 2000 .

Remarks on basics of fuzzy sets and fuzzy multisets

Sadaaki Miyamoto, S. Miyamoto, 2005, Fuzzy Sets Syst..

A definition for I-fuzzy partitions

Sadaaki Miyamoto, Vicenç Torra, V. Torra, 2011, Soft Comput..

Ward method of hierarchical clustering for non-Euclidean similarity measures

Sadaaki Miyamoto, Yasunori Endo, Jun-ichi Takeshita, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Data Clustering Algorithms for Information Systems

Sadaaki Miyamoto, S. Miyamoto, 2009, RSFDGrC.

A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo, 2007, RSKT.

Lattice-Valued Hierarchical Clustering for Analyzing Information Systems

Sadaaki Miyamoto, S. Miyamoto, 2006, RSCTC.

Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms

Sadaaki Miyamoto, Van-Nam Huynh, Shuhei Fujiwara, 2018, IUKM.

Hierarchical clustering algorithms with automatic estimation of the number of clusters

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Hierarchical and Non-Hierarchical Medoid Clustering Using Asymmetric Similarity Measures

Sadaaki Miyamoto, Yasunori Endo, Yousuke Kaizu, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

Hard and Fuzzy c-Medoids for Asymmetric Networks

Sadaaki Miyamoto, Yasunori Endo, Yousuke Kaizu, 2015, IFSA-EUSFLAT.

A Method of Two-Stage Clustering with Constraints Using Agglomerative Hierarchical Algorithm and One-Pass k-Means++

Sadaaki Miyamoto, Yusuke Tamura, Nobuhiro Obara, 2013, KSE.

A method of two-stage clustering with constraints using agglomerative hierarchical algorithm and one-pass k-means

Sadaaki Miyamoto, Nobuhiro Obara, S. Miyamoto, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Application of Genetic Algorithm to Cluster Analysis: Effectiveness of Operations with the Degree of Population Diversity

Sadaaki Miyamoto, Yoshio Mogami, Takanori Tagami, 1994 .

On an extraction method of structural characteristics in object-oriented rough set models

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo, 2009, 2009 IEEE International Conference on Granular Computing.

Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering

Sadaaki Miyamoto, Yuichi Kawasaki, S. Miyamoto, 2007, MDAI.

Spherical k-Means++ Clustering

Sadaaki Miyamoto, Yasunori Endo, S. Miyamoto, 2015, MDAI.

FUZZY c-MEANS USING REGULARIZATION BY ENTROPY

Sadaaki Miyamoto, Masao Mukaidono, S. Miyamoto, 1997 .

Information clustering based on fuzzy multisets

Sadaaki Miyamoto, S. Miyamoto, 2003, Inf. Process. Manag..

a t Northern Arizona University A Perspective on Data Mining July 1998

S. Miyamoto, 1999 .

A method of explicit mappings for kernel data analysis and applications

Sadaaki Miyamoto, Keisuke Sawazaki, S. Miyamoto, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

On hard and fuzzy c-means clustering with conditionally positive definite kernel

Sadaaki Miyamoto, Yuchi Kanzawa, Yasunori Endo, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Sadaaki Miyamoto, S. Miyamoto, 1995 .

Least square method for enhancement of laser radar images based on piecewise linear transformations of gray scales

Sadaaki Miyamoto, Y. Ikebe, K. Oi, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization

Sadaaki Miyamoto, Kiyotaka Mizutani, S. Miyamoto, 2005, MDAI.

Application of Rough Sets to Information Retrieval

Sadaaki Miyamoto, S. Miyamoto, 1998, J. Am. Soc. Inf. Sci..

Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

A technique of two-stage clustering applied to environmental and civil engineering and related methods of citation analysis

S. Miyamoto, K. Nakayama, S. Miyamoto, 1983, J. Am. Soc. Inf. Sci..

Contributions of Fuzzy Concepts to Data Clustering

Sadaaki Miyamoto, S. Miyamoto, 2017, Fuzzy Sets, Rough Sets, Multisets and Clustering.

Generalized Agglomerative Clustering with Application to Information Systems

Sadaaki Miyamoto, S. Miyamoto, 2008, MDAI.

Classification and Clustering: A Perspective toward Risk Mining

Sadaaki Miyamoto, S. Miyamoto, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Polymodal Logic and Application to Systems with Uncertainties of Risks

Sadaaki Miyamoto, S. Miyamoto, 2003 .

Generalized multisets and rough approximations

Sadaaki Miyamoto, S. Miyamoto, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Two Generalizations of Multisets

Sadaaki Miyamoto, S. Miyamoto, 2003 .

A Short Course for Fuzzy Set Theory

Sadaaki Miyamoto, S. Miyamoto, 2000 .

Two Methods of Fuzzy c-Means and Classification Functions

Sadaaki Miyamoto, Kazutaka Umayahara, S. Miyamoto, 1998 .

An Algorithm Combining Spectral Clustering and DBSCAN for Core Points

Sadaaki Miyamoto, Yoshiyuki Komazaki, So Miyahara, 2013, KSE.

Constrained agglomerative hierarchical clustering algorithms with penalties

Sadaaki Miyamoto, Akihisa Terami, S. Miyamoto, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Sparse Possibilistic Clustering with L1 Regularization

Sadaaki Miyamoto, Ryo Inokuchi, S. Miyamoto, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

On semi-supervised fuzzy c-means clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2011, MDAI.

Semi-supervised agglomerative hierarchical clustering algorithms with pairwise constraints

Sadaaki Miyamoto, Akihisa Terami, S. Miyamoto, 2010, International Conference on Fuzzy Systems.

Fuzzy Multiset Space and c-Means Clustering Using Kernles with Applications to Information Retrieval

Sadaaki Miyamoto, Kiyotaka Mizutani, S. Miyamoto, 2003, IFSA.

Application of Genetic Algorithms to Cluster Analysis

Sadaaki Miyamoto, Yoshio Mogami, Takanori Tagami, 1993 .

Sequential extraction of clusters for imbalanced data

Sadaaki Miyamoto, Hengjin Tang, S. Miyamoto, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

A Family of Fuzzy and Defuzzified c-Means Algorithms

Sadaaki Miyamoto, Takeshi Yasukochi, Ryo Inokuchi, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Two Views for Methods of Fuzzy Clustering

Sadaaki Miyamoto, S. Miyamoto, 2005 .

Set-Valued Mapping for Generalized Rough Approximation and Application to Clustering Algorithm

S. Miyamoto, 2020 .

Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008, Studies in Fuzziness and Soft Computing.

On the Use of Variable-Size Fuzzy Clustering for Classification

Sadaaki Miyamoto, Vicenç Torra, V. Torra, 2006, MDAI.

An evolutionary approach for the multiple container loading problem

Sadaaki Miyamoto, Shigeyuki Takahara, S. Miyamoto, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions

Sadaaki Miyamoto, Yuchi Kanzawa, Yasunori Endo, 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Sequential Extraction of Fuzzy Regression Models: Least Squares and Least absolute Deviations

Sadaaki Miyamoto, Hengjin Tang, S. Miyamoto, 2011, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations

Sadaaki Miyamoto, Hengjin Tang, S. Miyamoto, 2010, MDAI.

On tolerant fuzzy c-means clustering and tolerant possibilistic clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2010, Soft Comput..

On Tolerant Fuzzy c -Means Clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle

Sadaaki Miyamoto, Yasushi Hasegawa, Yukihiro Hamasuna, 2007, MDAI.

L/sub 1/-Norm based Fuzzy Clustering for Data with Tolerance

Sadaaki Miyamoto, Yasunori Endo, Ryuichi Murata, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Various Types of Objective Functions of Clustering for Uncertain Data

Sadaaki Miyamoto, Yasunori Endo, S. Miyamoto, 2012 .

L 1 -Space Based Models for Clustering and Regression: Fuzzy Clustering and Mixture Densities

S. Miyamoto, Yoichi Nakayama, Takatsugu Koga, 2003 .

Fuzzy Clustering Based on L_1 Metric for Fuzzy data

Sadaaki Miyamoto, Osamu Takata, S. Miyamoto, 2001 .

Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L1-Space

Sadaaki Miyamoto, Osamu Takata, Takatsugu Koga, 2001, JSAI Workshops.

Fuzzy c-means and its variations

Sadaaki Miyamoto, S. Miyamoto, 1996 .

Generalizations of Fuzzy c-Means and Fuzzy Classifiers

Sadaaki Miyamoto, Yasunori Endo, Yoshiyuki Komazaki, 2016, IUKM.

Variables for Controlling Cluster Sizes on Fuzzy c-Means

Sadaaki Miyamoto, Yoshiyuki Komazaki, S. Miyamoto, 2013, MDAI.

Recent Development in Fuzzy Database Systems and Applications

M. Umano, S. Miyamoto, M. Umano, 1995 .

Agglomerative Hierarchical Clustering Using Asymmetric Similarity Based on a Bag Model and Application to Information on the Web

Sadaaki Miyamoto, Satoshi Takumi, S. Miyamoto, 2011, IUKM.

Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions

Sadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki, 2007, KES.

Fuzzy Multiset Model for Information Retrieval andClustering using a Kernel Function

Sadaaki Miyamoto, Wei Zhang, Kiyotaka Mizutani, 2003 .

Classification of chemical compounds based on the correlation between \textit{in vitro} gene expression profiles

S. Miyamoto, Y. Endo, J. Takeshita, 2021, 2101.01837.

A three-valued modal tense logic for the Master Argument

Sadaaki Miyamoto, Tetsuya Murai, Seiki Akama, 2011 .

Operations for Real-Valued Bags and Bag Relations

Sadaaki Miyamoto, S. Miyamoto, 2009, IFSA/EUSFLAT Conf..

Generalizations of multisets and rough approximations

Sadaaki Miyamoto, S. Miyamoto, 2004, Int. J. Intell. Syst..

The monotonicity theorem, Cauchy's interlace theorem, and the Courant-Fischer theorem

Sadaaki Miyamoto, Toshiyuki Inagaki, Yasuhiko Ikebe, 1987 .

Image clustering for the exploration of video sequences

Sadaaki Miyamoto, Vicenç Torra, Sergi Lanau, 2006, J. Assoc. Inf. Sci. Technol..

Computationally intensive parameter selection for clustering algorithms: The case of fuzzy c‐means with tolerance

Sadaaki Miyamoto, Vicenç Torra, Yasunori Endo, 2011, Int. J. Intell. Syst..

On intuitionistic fuzzy clustering for its application to privacy

Sadaaki Miyamoto, Josep Domingo-Ferrer, Vicenç Torra, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Modeling Decisions for Artificial Intelligence: Theory, Tools and Applications

Sadaaki Miyamoto, Vicenç Torra, Yasuo Narukawa, 2005, MDAI.

Algorithms of nonlinear document clustering based on fuzzy multiset model

S. Miyamoto, R. Inokuchi, Kiyotaka Mizutani, 2008, Int. J. Intell. Syst..

An Explicit Mapping for Kernel Data Analysis and Application to Text Analysis

Sadaaki Miyamoto, Keisuke Sawazaki, Yuichi Kawasaki, 2009, IFSA/EUSFLAT Conf..

Algorithms for Sequential Extraction of Clusters by Possibilistic Method and Comparison with Mountain Clustering

Sadaaki Miyamoto, Kenta Arai, Youhei Kuroda, 2008, J. Adv. Comput. Intell. Intell. Informatics.

Linear Fuzzy Clustering by Regularization of Dimensional Coefficients

Sadaaki Miyamoto, Kazutaka Umayahara, S. Miyamoto, 2000 .

Fuzzy Classification Functions in the Methods of Fuzzy c-Means and Regularization by Entropy

Sadaaki Miyamoto, Masao Mukaidono, Kazutaka Umayahara, 1998 .

On Hierarchical Clustering by Fuzzy Graphs

Sadaaki Miyamoto, S. Miyamoto, 1993 .

Application of fuzzy multisets to fuzzy database systems

K.-S. Kim, S. Miyamoto, S. Miyamoto, 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.