Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-12054-6_13 ◽

2014 ◽

pp. 145-157

Author(s):

Yasunori Endo ◽

Naohiko Kinoshita ◽

Kuniaki Iwakura ◽

Yukihiro Hamasuna

Keyword(s):

Pairwise Constraints ◽

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Semi-supervised fuzzy c-means regularized with pairwise constraints

2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

10.1109/fskd.2018.8686922 ◽

2018 ◽

Author(s):

Jian-Ping Mei ◽

Huajiang Lv

Keyword(s):

Pairwise Constraints ◽

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Semi-supervised kernel-based fuzzy C-means with pairwise constraints

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633936 ◽

2008 ◽

Author(s):

Na Wang ◽

Xia Li ◽

Xuehui Luo

Keyword(s):

Pairwise Constraints ◽

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Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints

2010 IEEE International Conference on Granular Computing ◽

10.1109/grc.2010.149 ◽

2010 ◽

Author(s):

Yukihiro Hamasuna ◽

Yasunori Endo ◽

Sadaaki Miyamoto

Keyword(s):

Pairwise Constraints ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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Prediction of the Number of Airport Passengers Using Fuzzy C-Means and Adaptive Neuro Fuzzy Inference System

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v10i3.12003 ◽

2017 ◽

Vol 10 (3) ◽

pp. 280

Author(s):

Sunarsan Sitohang ◽

Abba Suganda Girsang ◽

Suharjito Suharjito

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Fuzzy C Means ◽

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Binary Division Fuzzy C-Means Clustering and Particle Swarm Optimization Based Efficient Intrusion Detection for E-Governance Systems

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i8.9546 ◽

2016 ◽

Vol 11 (8) ◽

pp. 672 ◽

Author(s):

Rajan Gupta ◽

Sunil K. Muttoo ◽

Saibal K. Pal

Keyword(s):

Particle Swarm Optimization ◽

Intrusion Detection ◽

Particle Swarm ◽

Swarm Optimization ◽

Fuzzy C Means ◽

Governance Systems ◽

Fuzzy C Means Clustering ◽

Binary Division

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Modification of Fuzzy c-Means Method Using a Nonlinear Vector Criterion

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v42.i12.20 ◽

2010 ◽

Vol 42 (12) ◽

pp. 13-21

Author(s):

Anatoliy F. Bulat ◽

Elena M. Kiseleva ◽

Sergey A. Pichugov ◽

Oleg B. Blyuss

Keyword(s):

Vector Criterion ◽

Fuzzy C Means ◽

Nonlinear Vector

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Fuzzy c-means Clustering Algorithm for Brain Tumor Segmentation

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i6/0198 ◽

2017 ◽

Vol 7 (6) ◽

pp. 668-670

Author(s):

A. Florence ◽

◽

J. G. R Sathiaseelan ◽

Keyword(s):

Brain Tumor ◽

Clustering Algorithm ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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The fall point identification of cluster warhead based on fuzzy C-Means clustering method

Advanced Control, Automation and Robotics ◽

10.2495/acar140451 ◽

2015 ◽

Author(s):

G.L. Wang ◽

S.Q. Dong ◽

X.L. Shen ◽

J.R. Lu

Keyword(s):

Clustering Method ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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Invasive weed optimization and Kernel Fuzzy C-Means Based MRI brain tissue segmentation

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i11.4350 ◽

2018 ◽

Vol 6 (11) ◽

pp. 43-50

Author(s):

K. Venkatesh Sharma

Keyword(s):

Brain Tissue ◽

Invasive Weed Optimization ◽

Tissue Segmentation ◽

Invasive Weed ◽

Fuzzy C Means ◽

Mri Brain ◽

Brain Tissue Segmentation

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A Hierarchical Spatial Fuzzy C Means Algorithm for Mammographic Mass Segmentation

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i1.8488 ◽

2019 ◽

Vol 7 (1) ◽

pp. 84-88

Author(s):

Manasi Hazarika ◽

Lipi B. Mahanta

Keyword(s):

Fuzzy C Means ◽

Mass Segmentation ◽

Fuzzy C Means Algorithm

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