Sadaaki Miyamoto

Publication Activity (10 Years)

Years Active: 1981-2022
Publications (10 Years): 13

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

MDAI

GrC

SCIS&ISIS

Publications

Yuchi Kanzawa, Sadaaki Miyamoto
-Means Clustering and its Behavior at the Infinity Point. J. Adv. Comput. Intell. Intell. Informatics 26 (6) (2022)
Yuchi Kanzawa, Sadaaki Miyamoto
-Means Clustering and its Property of Fuzzy Classification Function. J. Adv. Comput. Intell. Intell. Informatics 25 (1) (2021)
Yuchi Kanzawa, Sadaaki Miyamoto
-Means Clustering and its Behavior at Point of Infinity. J. Adv. Comput. Intell. Intell. Informatics 23 (3) (2019)
Yuchi Kanzawa, Sadaaki Miyamoto
Generalized Fuzzy c-Means Clustering and Its Theoretical Properties. MDAI (2018)
Sadaaki Miyamoto, Van-Nam Huynh, Shuhei Fujiwara
Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms. IUKM (2018)
Sadaaki Miyamoto, Jong Moon Choi, Yasunori Endo, Van-Nam Huynh
Optimal Clustering with Twofold Memberships. MDAI (2018)
Sadaaki Miyamoto
Editorial: Recent Methodological Developments in Fuzzy Clustering and Related Topics. J. Adv. Comput. Intell. Intell. Informatics 22 (4) (2018)
Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna
Hierarchical clustering algorithms with automatic estimation of the number of clusters. IFSA-SCIS (2017)
Sadaaki Miyamoto
Contributions of Fuzzy Concepts to Data Clustering. Fuzzy Sets, Rough Sets, Multisets and Clustering (2017)
Sadaaki Miyamoto, Yoshiyuki Komazaki, Yasunori Endo
Generalizations of Fuzzy c-Means and Fuzzy Classifiers. IUKM (2016)
Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Sadaaki Miyamoto
A Note on Even-Sized Clustering Based on Optimization. SCIS&ISIS (2016)
Sadaaki Miyamoto, Yousuke Kaizu, Yasunori Endo
Hierarchical and Non-Hierarchical Medoid Clustering Using Asymmetric Similarity Measures. SCIS&ISIS (2016)
Tatsuya Higuchi, Sadaaki Miyamoto, Yasunori Endo
-Regression Models for Fuzzy Numbers on a Graph. J. Adv. Comput. Intell. Intell. Informatics 20 (4) (2016)
Yasunori Endo, Sadaaki Miyamoto
Spherical k-Means++ Clustering. MDAI (2015)
Sadaaki Miyamoto
Fuzzy Sets, Multisets, and Rough Approximations. IUKM (2015)
Yousuke Kaizu, Sadaaki Miyamoto, Yasunori Endo
Hard and Fuzzy c-Medoids for Asymmetric Networks. IFSA-EUSFLAT (2015)
Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. J. Adv. Comput. Intell. Intell. Informatics 19 (1) (2015)
Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna, Sadaaki Miyamoto
Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering. FUZZ-IEEE (2015)
Sadaaki Miyamoto, Ryosuke Abe, Yasunori Endo, Jun-ichi Takeshita
Ward method of hierarchical clustering for non-Euclidean similarity measures. SoCPaR (2015)
Hengjin Tang, Sadaaki Miyamoto, Yasunori Endo
Semi-Supervised Sequential Kernel Regression Models with Penalty Functions. J. Adv. Comput. Intell. Intell. Informatics 19 (1) (2015)
Yusuke Tamura, Sadaaki Miyamoto
A method of two stage clustering using agglomerative hierarchical algorithms with one-pass k-means++ or k-median++. GrC (2014)
Sadaaki Miyamoto
Classification Rules in Methods of Clustering. IEEE Intell. Informatics Bull. 15 (1) (2014)
Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama
Crisp and Fuzzy Granular Hierarchical Structures Generated from a Free Monoid. J. Adv. Comput. Intell. Intell. Informatics 18 (6) (2014)
Naohiko Kinoshita, Yasunori Endo, Sadaaki Miyamoto
On Some Models of Objective-Based Rough Clustering. WI-IAT (1) (2014)
Yusuke Tamura, Sadaaki Miyamoto
Two-stage clustering using one-pass K-medoids and medoid-based agglomerative hierarchical algorithms. SCIS&ISIS (2014)
So Miyahara, Sadaaki Miyamoto
A family of algorithms using spectral clustering and DBSCAN. GrC (2014)
Tatsuya Higuchi, Sadaaki Miyamoto
Fuzzy c-regression models combined with support vector regression. FUZZ-IEEE (2014)
Zhang Canlun, Sadaaki Miyamoto
Text clustering using fuzzy neighborhood and evaluation of clusters. GrC (2014)
Tsau-Young Lin, Yasuo Kudo, Sadaaki Miyamoto
Introduction to Special Issue on "Foundations and Applications of Granular Computing". Int. J. Intell. Syst. 28 (9) (2013)
Yoshiyuki Komazaki, Sadaaki Miyamoto
Variables for Controlling Cluster Sizes on Fuzzy c-Means. MDAI (2013)
Hengjin Tang, Sadaaki Miyamoto
Sequential extraction of clusters for imbalanced data. GrC (2013)
Satoshi Takumi, Sadaaki Miyamoto
Nearest Prototype and Nearest Neighbor Clustering with Twofold Memberships Based on Inductive Property. J. Adv. Comput. Intell. Intell. Informatics 17 (4) (2013)
Yusuke Tamura, Nobuhiro Obara, Sadaaki Miyamoto
A Method of Two-Stage Clustering with Constraints Using Agglomerative Hierarchical Algorithm and One-Pass k-Means++. KSE (2) (2013)
Sadaaki Miyamoto, Nobuhiro Obara
Algorithms of crisp, fuzzy, and probabilistic clustering with semi-supervision or pairwise constraints. GrC (2013)
Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo, Seiki Akama
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. MDAI (2013)
So Miyahara, Yoshiyuki Komazaki, Sadaaki Miyamoto
An Algorithm Combining Spectral Clustering and DBSCAN for Core Points. KSE (2) (2013)
Hengjin Tang, Sadaaki Miyamoto
Semi-supervised Sequential Kernel Regression Models with Pairwise Constraints. MDAI (2013)
Van-Nam Huynh, Sadaaki Miyamoto, Yoshiteru Nakamori
An extension of context model for representing vague knowledge. Int. J. Reason. based Intell. Syst. 4 (3) (2012)
Ayako Heki, Yasunori Endo, Sadaaki Miyamoto
Rough set based non metric model. SCIS&ISIS (2012)
Satoshi Takumi, Sadaaki Miyamoto
Agglomerative Hierarchical Clustering Without Reversals on Dendrograms Using Asymmetric Similarity Measures. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Seiki Akama
Granular hierarchical structures of finite naïve subsets and multisets based on free monoids and homomorphisms. Int. J. Reason. based Intell. Syst. 4 (3) (2012)
Sadaaki Miyamoto
An Overview of Hierarchical and Non-hierarchical Algorithms of Clustering for Semi-supervised Classification. MDAI (2012)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. J. Adv. Comput. Intell. Intell. Informatics 16 (1) (2012)
Sadaaki Miyamoto
Different generalizations of bags. Ann. Oper. Res. 195 (1) (2012)
Satoshi Takumi, Sadaaki Miyamoto
Comparing different methods of agglomerative hierarchical clustering with pairwise constraints. SCIS&ISIS (2012)
Nobuhiro Obara, Sadaaki Miyamoto
A method of two-stage clustering with constraints using agglomerative hierarchical algorithm and one-pass k-means. SCIS&ISIS (2012)
Sadaaki Miyamoto
Inductive and non-inductive methods of clustering. GrC (2012)
Satoshi Takumi, Sadaaki Miyamoto
Top-down vs bottom-up methods of linkage for asymmetric agglomerative hierarchical clustering. GrC (2012)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Sadaaki Miyamoto, Shohei Suzuki, Satoshi Takumi
Clustering in tweets using a fuzzy neighborhood model. FUZZ-IEEE (2012)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis. J. Adv. Comput. Intell. Intell. Informatics 16 (1) (2012)
Sadaaki Miyamoto, Satoshi Takumi
Hierarchical clustering using transitive closure and semi-supervised classification based on fuzzy rough approximation. GrC (2012)
Hengjin Tang, Sadaaki Miyamoto
Sequential Regression Models with Pairwise Constraints Using Noise Clusters. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Sadaaki Miyamoto, Satoshi Takumi
Inductive Clustering and Twofold Approximations in Nearest Neighbor Clustering. MDAI (2012)
Vicenç Torra, Sadaaki Miyamoto
Erratum to: A definition for I-fuzzy partitions. Soft Comput. 15 (2) (2011)
Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto
Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. FUZZ-IEEE (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Hengjin Tang, Sadaaki Miyamoto
Sequential Extraction of Fuzzy Regression Models: Least Squares and Least absolute Deviations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19 (Supplement-1) (2011)
Satoshi Takumi, Sadaaki Miyamoto
Text clustering using a multiset model. GrC (2011)
Sadaaki Miyamoto
Two Classes of Algorithms for Data Clustering. IUKM (2011)
Vicenç Torra, Yasunori Endo, Sadaaki Miyamoto
-means with tolerance. Int. J. Intell. Syst. 26 (4) (2011)
Sadaaki Miyamoto, Keisuke Sawazaki
A method of explicit mappings for kernel data analysis and applications. FUZZ-IEEE (2011)
Vicenç Torra, Sadaaki Miyamoto
A definition for I-fuzzy partitions. Soft Comput. 15 (2) (2011)
Satoshi Takumi, Sadaaki Miyamoto
Agglomerative Hierarchical Clustering Using Asymmetric Similarity Based on a Bag Model and Application to Information on the Web. IUKM (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
On hard and fuzzy c-means clustering with conditionally positive definite kernel. FUZZ-IEEE (2011)
Satoshi Takumi, Sadaaki Miyamoto
Agglomerative Clustering Using Asymmetric Similarities. MDAI (2011)
Sadaaki Miyamoto, A. Terami
Inductive vs. transductive clustering using kernel functions and pairwise constraints. ISDA (2011)
Aoi Takahashi, Yasunori Endo, Sadaaki Miyamoto
Fuzzy c-means clustering for data with tolerance using cosine correlation. GrC (2011)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means. J. Adv. Comput. Intell. Intell. Informatics 15 (8) (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. FUZZ-IEEE (2011)
Sadaaki Miyamoto, Akihisa Terami
Constrained agglomerative hierarchical clustering algorithms with penalties. FUZZ-IEEE (2011)
Jeongsik Hwang, Sadaaki Miyamoto
Kernel Functions Derived from Fuzzy Clustering and Their Application to Kernel Fuzzy c-Means. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. MDAI (2011)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. MDAI (2010)
Sadaaki Miyamoto
Bags, Toll Sets, and Fuzzy Sets. IUM (2010)
Vicenç Torra, Isaac Cano, Sadaaki Miyamoto, Yasunori Endo
Container loading for nonorthogonal objects: an approximation using local search and simulated annealing. Soft Comput. 14 (5) (2010)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
On kernel fuzzy c-means for data with tolerance using explicit mapping for kernel data analysis. FUZZ-IEEE (2010)
Sadaaki Miyamoto, Akihisa Terami
Semi-supervised agglomerative hierarchical clustering algorithms with pairwise constraints. FUZZ-IEEE (2010)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
-means clustering and tolerant possibilistic clustering. Soft Comput. 14 (5) (2010)
Hengjin Tang, Sadaaki Miyamoto
Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations. MDAI (2010)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Cluster validity measures for data with tolerance. FUZZ-IEEE (2010)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. GrC (2010)
Tetsuya Murai, Seiki Ubukata, Yasuo Kudo, Seiki Akama, Sadaaki Miyamoto
Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics. IUM (2010)
Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna
Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables. FUZZ-IEEE (2010)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
-Means Clustering Algorithms. MDAI (2010)
Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto
On semi-supervised fuzzy c-means clustering. FUZZ-IEEE (2009)
Sadaaki Miyamoto, Mitsuaki Yamazaki, Wataru Hashimoto
Fuzzy semi-supervised clustering with target clusters using different additional terms. GrC (2009)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Fuzzy c-Lines for Data with Tolerance. IFSA/EUSFLAT Conf. (2009)
Wataru Hashimoto, Tetsuya Nakamura, Sadaaki Miyamoto
Comparison and Evaluation of Different Cluster Validity Measures Including Their Kernelization. J. Adv. Comput. Intell. Intell. Informatics 13 (3) (2009)
Sadaaki Miyamoto
Operations for Real-Valued Bags and Bag Relations. IFSA/EUSFLAT Conf. (2009)
Sadaaki Miyamoto, Yuichi Kawasaki, Keisuke Sawazaki
An Explicit Mapping for Kernel Data Analysis and Application to Text Analysis. IFSA/EUSFLAT Conf. (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. GrC (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On L1-Norm based tolerant fuzzy c-Means clustering. FUZZ-IEEE (2009)
Sadaaki Miyamoto
Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making. MDAI (2009)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
-Means Clustering Algorithms. MDAI (2009)
Yasuo Kudo, Tetsuya Murai, Sadaaki Miyamoto
On an extraction method of structural characteristics in object-oriented rough set models. GrC (2009)
Sadaaki Miyamoto
Refinement Properties in Agglomerative Hierarchical Clustering. MDAI (2009)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Entropy regularized fuzzy C-lines for data with tolerance. FUZZ-IEEE (2009)
Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
On Tolerant Fuzzy c -Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 13 (4) (2009)

Sadaaki Miyamoto.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sadaaki Miyamoto