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Authors
(5380)
Witold Pedrycz
51
Sadaaki Miyamoto (宮本定明)
43
Katsuhiro Honda (本多克宏)
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Hidetomo Ichihashi (市橋秀友)
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IEEE International Conference on Fuzzy Systems
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Keywords
Fuzzy C Mean
FCM,Fuzzy C Mean,Fuzzy c Means
Fuzzy C Mean - FCM
Publications: 2,671
|
Citation Count: 16,273
Stemming Variations:
Fuzzy c Means
Cumulative
Annual
Definition Context
(4)
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in meaningfulregions with FCMis based on spectral informationonly...
J. C. Noordam
,
et al.
Geometrically Guided Fuzzy C-means Clustering for Multivariate Image S...
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images...
J. C. Noordam
,
et al.
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image S...
The fuzzy c-means (FCM) algorithm is a popular fuzzy clustering method. It is known that an appropriate assignment to feature weights can improve the performance of FCM...
Wen-liang Hung
,
et al.
Bootstrapping approach to feature-weight selection in fuzzy c-means al...
Fuzzy c-Means (FCM) is the fuzzy version of the c-Means clustering, in which memberships are fuzzified by introducing an additional parameter into the linear objective function of weighted sum of distances between data points and cluster centers. Regularization of hard c-Means clustering is another approach to fuzzification and several regularization terms such as entropy and quadratic terms have been adopted...
Katsuhiro Honda
,
et al.
A New Approach to Fuzzification of Memberships in Cluster Analysis
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Publications
(2671)
Feature extraction on vineyard by Gustafson Kessel FCM and K-means
Christian Correa
,
Constantino Valero
,
Pilar Barreiro
,
Maria Paz Diago
,
Javier Tardaguila
Conference:
MELECON - IEEE Mediterranean Electrotechnical Conference - MELECON
, pp. 481-484, 2012
Unsupervised classification of polarimetric synthetic aperture radar images using kernel fuzzy C-means clustering
Jie Yu
,
Qin Yan
,
Zhongshan Zhang
,
Hongxia Ke
,
Zheng Zhao
,
Weilan Wang
Journal:
International Journal of Image and Data Fusion
, vol. ahead-of-p, no. ahead-of-p, pp. 1-14, 2012
Application of Fuzzy c-Means and Self-organizing maps for genes clustering in mouse brain microarray data analysis
Sheng-Hsiung Chiu
,
Meng-Hsiun Tsai
,
Hsieh-Chung Wu
,
Wei-Chun Chen
,
Utpala Shrestha
,
Sherwin Kuo
Conference:
Fuzzy Systems and Knowledge Discovery
, 2012
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines
Luiz F. S. Coletta
,
Lucas Vendramin
,
Eduardo Raul Hruschka
,
Ricardo J. G. B. Campello
,
Witold Pedrycz
Journal:
IEEE Transactions on Fuzzy Systems - TFS
, vol. 20, no. 3, pp. 444-462, 2012
Holocene climatic development in Skagerrak, eastern North Atlantic: Foraminiferal and stable isotopic evidence
Dorthe Reng Erbs-Hansen
,
Karen Luise Knudsen
,
Anthony Cavedo Gary
,
Richard Gyllencreutz
,
Eystein Jansen
Journal:
Holocene
, vol. 22, no. 3, pp. 301-312, 2012