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2020 – today
- 2024
[c45]Yuchi Kanzawa
:
Three Fuzzy Clustering Algorithms for Nominal Data: Enhancement Through Tsallis Entropy-Based Feature Weighting and Q-Divergence-Based Fuzzification. FUZZ 2024: 1-8- 2023
- [j28]Mizuki Fujita, Yuchi Kanzawa:
Three Fuzzy c-Shapes Clustering Algorithms for Series Data. J. Adv. Comput. Intell. Intell. Informatics 27(5): 976-985 (2023) - [j27]Yuchi Kanzawa, Kaoru Atsuta, Genki Midorikawa:
Collaborative Filtering with q-Divergence-Based Relational Fuzzy c-Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 27(6): 1070-1078 (2023) - [j26]Yuchi Kanzawa, Tadafumi Kondo:
Collaborative filtering with q-divergence-based fuzzy clustering for spherical data. J. Ambient Intell. Humaniz. Comput. 14(12): 15875-15883 (2023) - [c44]Tomoki Nomura, Yuchi Kanzawa:
On Some Fuzzy Clustering Algorithms Based on Series Models. IUKM (2) 2023: 192-204 - [c43]Yuto Suzuki, Yuchi Kanzawa:
On Some Fuzzy Clustering for Series Data. IUKM (2) 2023: 205-217 - [c42]Yuchi Kanzawa:
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size. MDAI 2023: 226-237 - 2022
- [j25]Yuchi Kanzawa, Sadaaki Miyamoto:
Generalization of Tsallis Entropy-Based Fuzzy c-Means Clustering and its Behavior at the Infinity Point. J. Adv. Comput. Intell. Intell. Informatics 26(6): 884-892 (2022) - [c41]Mizuki Fujita, Yuchi Kanzawa:
On Some Fuzzy Clustering Algorithms for Time-Series Data. IUKM 2022: 169-181 - [c40]Kazune Suzuki, Yuchi Kanzawa:
On an Multi-directional Searching Algorithm for Two Fuzzy Clustering Methods for Categorical Multivariate Data. IUKM 2022: 182-190 - [c39]Toshiki Ishii, Yuchi Kanzawa:
On Some Fuzzy Clustering Algorithms with Cluster-Wise Covariance. IUKM 2022: 191-203 - [c38]Masanori Kawamura, Yuchi Kanzawa:
On Some Fuzzy Clustering Algorithms with Dimensionality Reduction. SCIS/ISIS 2022: 1-6 - 2021
- [j24]Yuchi Kanzawa, Sadaaki Miyamoto:
Generalized Fuzzy c-Means Clustering and its Property of Fuzzy Classification Function. J. Adv. Comput. Intell. Intell. Informatics 25(1): 73-82 (2021) - [c37]Yuchi Kanzawa:
q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data. MDAI 2021: 218-230 - 2020
- [j23]Yuchi Kanzawa:
Tsallis Entropy-Based Fuzzy Latent Semantics Analysis. J. Adv. Comput. Intell. Intell. Informatics 24(1): 58-64 (2020) - [c36]Yuchi Kanzawa:
Generalization Property of Fuzzy Classification Function for Tsallis Entropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering. MDAI 2020: 119-131 - [c35]Yuchi Kanzawa:
On Fuzzy Clustering Algorithms for Nominal Data. SCIS/ISIS 2020: 1-5
2010 – 2019
- 2019
- [j22]Yuchi Kanzawa, Sadaaki Miyamoto:
Regularized Fuzzy c-Means Clustering and its Behavior at Point of Infinity. J. Adv. Comput. Intell. Intell. Informatics 23(3): 485-492 (2019) - [j21]Tadafumi Kondo, Yuchi Kanzawa:
Collaborative Filtering Using Fuzzy Clustering for Categorical Multivariate Data Based on q-Divergence. J. Adv. Comput. Intell. Intell. Informatics 23(3): 493-501 (2019) - [j20]Masayuki Higashi, Tadafumi Kondo, Yuchi Kanzawa:
Fuzzy Clustering Method for Spherical Data Based on q-Divergence. J. Adv. Comput. Intell. Intell. Informatics 23(3): 561-570 (2019) - [c34]Yuchi Kanzawa:
On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy. MDAI 2019: 189-200 - 2018
- [j19]Yuchi Kanzawa:
q-Divergence-Based Relational Fuzzy c-Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 22(1): 34-43 (2018) - [j18]Yuchi Kanzawa:
Power-Regularized Fuzzy Clustering for Spherical Data. J. Adv. Comput. Intell. Intell. Informatics 22(2): 163-171 (2018) - [j17]Tadafumi Kondo, Yuchi Kanzawa:
Fuzzy Clustering Methods for Categorical Multivariate Data Based on q-Divergence. J. Adv. Comput. Intell. Intell. Informatics 22(4): 524-536 (2018) - [c33]Yuchi Kanzawa, Sadaaki Miyamoto:
Generalized Fuzzy c-Means Clustering and Its Theoretical Properties. MDAI 2018: 243-254 - [c32]Yuchi Kanzawa:
On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate Categorical Data. SCIS&ISIS 2018: 638-643 - [c31]Tadafumi Kondo, Yuchi Kanzawa:
Performance Comparison of Collaborative Filtering Using Fuzzy Clustering for Spherical Data. SCIS&ISIS 2018: 644-647 - [c30]Yuchi Kanzawa:
On Tsallis Entropy-Based and Bezdek-Type Fuzzy Latent Semantics Analysis. SMC 2018: 3685-3689 - 2017
- [c29]Yuchi Kanzawa:
Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices. Fuzzy Sets, Rough Sets, Multisets and Clustering 2017: 45-61 - [c28]Yuchi Kanzawa:
Fuzzy co-clustering induced by q-multinomial mixture models. FUZZ-IEEE 2017: 1-6 - [c27]Yuchi Kanzawa:
On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models. MDAI 2017: 89-102 - [c26]Tadafumi Kondo, Yuchi Kanzawa:
Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System. MDAI 2017: 103-116 - 2016
- [j16]Yuchi Kanzawa:
Power-Regularized Fuzzy c-Means Clustering with a Fuzzification Parameter Less Than One. J. Adv. Comput. Intell. Intell. Informatics 20(4): 561-570 (2016) - [c25]Yuchi Kanzawa:
On Bezdek-Type Possibilistic Clustering for Spherical Data, Its Kernelization, and Spectral Clustering Approach. MDAI 2016: 178-190 - [c24]Yuchi Kanzawa:
On Possibilistic Clustering Algorithms Based on Noise Clustering. SCIS&ISIS 2016: 42-47 - 2015
- [j15]Yuchi Kanzawa:
Sequential Cluster Extraction Using Power-Regularized Possibilistic c-Means. J. Adv. Comput. Intell. Intell. Informatics 19(1): 67-73 (2015) - [j14]Yuchi Kanzawa:
A Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means. J. Adv. Comput. Intell. Intell. Informatics 19(5): 662-669 (2015) - [j13]Yuchi Kanzawa:
A Maximizing Model of Spherical Bezdek-Type Fuzzy Multi-Medoids Clustering. J. Adv. Comput. Intell. Intell. Informatics 19(6): 738-746 (2015) - [j12]Yuchi Kanzawa:
Bezdek-Type Fuzzified Co-Clustering Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19(6): 852-860 (2015) - [c23]Yuchi Kanzawa:
Fuzzy clustering based on α-divergence for spherical data and for categorical multivariate data. FUZZ-IEEE 2015: 1-8 - [c22]Yuchi Kanzawa:
On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data. MDAI 2015: 115-128 - 2014
- [j11]Yuchi Kanzawa:
Relational Fuzzy c-Lines Clustering Derived from Kernelization of Fuzzy c-Lines. J. Adv. Comput. Intell. Intell. Informatics 18(2): 175-181 (2014) - [j10]Yuchi Kanzawa:
Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation. J. Adv. Comput. Intell. Intell. Informatics 18(2): 182-189 (2014) - [c21]Yuchi Kanzawa:
A maximizing model of Bezdek-like spherical fuzzy c-means clustering. FUZZ-IEEE 2014: 2482-2488 - [c20]Yuchi Kanzawa:
On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering. GrC 2014: 121-126 - [c19]Yuchi Kanzawa:
On Kernelization for a Maximizing Model of Bezdek-Like Spherical Fuzzy c-Means Clustering. MDAI 2014: 108-121 - [c18]Yuchi Kanzawa:
On Bezdek-type fuzzy clustering for categorical multivariate data. SCIS&ISIS 2014: 694-699 - 2013
- [j9]Yuchi Kanzawa:
Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using an Object-Wise β-Spread Transformation. J. Adv. Comput. Intell. Intell. Informatics 17(4): 511-519 (2013) - [c17]Yuchi Kanzawa:
Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using a Quadratic Programming-Based Object-Wise β-Spread Transformation. KSE (2) 2013: 29-43 - [c16]Yuchi Kanzawa:
Generalization of Quadratic Regularized and Standard Fuzzy c-Means Clustering with Respect to Regularization of Hard c-Means. MDAI 2013: 152-165 - 2012
- [j8]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): 162-168 (2012) - [j7]Yuchi Kanzawa:
Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data. J. Adv. Comput. Intell. Intell. Informatics 16(7): 784-792 (2012) - [j6]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): 825-830 (2012) - [c15]Yuchi Kanzawa, Yasunori Endo:
On FNM-based and RFCM-based fuzzy co-clustering algorithms. FUZZ-IEEE 2012: 1-8 - [c14]Yuchi Kanzawa:
Relational fuzzy c-lines derived from kernel fuzzy c-lines. SCIS&ISIS 2012: 1561-1566 - [c13]Yuchi Kanzawa:
FNM-based and RFCM-based fuzzy clustering for tri-relational data. SCIS&ISIS 2012: 1982-1987 - [c12]Yuchi Kanzawa:
Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering. SCIS&ISIS 2012: 1988-1993 - 2011
- [j5]Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Yuchi Kanzawa:
Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization. J. Adv. Comput. Intell. Intell. Informatics 15(1): 76-82 (2011) - [j4]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): 95-101 (2011) - [j3]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): 1057-1064 (2011) - [c11]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
On hard and fuzzy c-means clustering with conditionally positive definite kernel. FUZZ-IEEE 2011: 816-820 - 2010
- [c10]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: 1-6 - [c9]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Indefinite Kernel Fuzzy c-Means Clustering Algorithms. MDAI 2010: 116-128
2000 – 2009
- 2009
- [c8]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy c-Lines for Data with Tolerance. IFSA/EUSFLAT Conf. 2009: 861-866 - [c7]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Entropy regularized fuzzy C-lines for data with tolerance. FUZZ-IEEE 2009: 1113-1118 - [c6]Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto:
On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. GrC 2009: 148-153 - [c5]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms. MDAI 2009: 268-281 - 2008
- [j2]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy c-Means Algorithms for Data with Tolerance Using Kernel Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(9): 2520-2534 (2008) - [c4]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy classification function of fuzzy c-means algorithms for data with tolerance. FUZZ-IEEE 2008: 1081-1088 - [c3]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. GrC 2008: 350-355 - [c2]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. MDAI 2008: 122-133 - 2007
- [j1]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(10): 2194-2202 (2007) - 2006
- [c1]Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions. FUZZ-IEEE 2006: 744-750
Coauthor Index
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