Vertical Collaborative Fuzzy C-Means for Multiple EEG Data Sets-Reference-Cited by-同舟云学术

Vertical Collaborative Fuzzy C-Means for Multiple EEG Data Sets

Published:2013 Issue: Volume: Page:246-257
ISSN:0302-9743
Container-title:Intelligent Robotics and Applications
language:
Short-container-title:

Author:

Prasad Mukesh,Lin Chin-Teng,Yang Chien-Ting,Saxena Amit

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40852-6_26

Reference8 articles.

1. Bezdek, J.C.: Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York (1981)

2. Bezdek, J.C., Ehrlich, R., Full, W.: FCM: the fuzzy C-means clustering algorithm. Computers and Geosciences

3. Pedrycz, W.: Collaborative fuzzy clustering. Pattern Recognition Letters 23(14), 1675–1686 (2002)

4. Pedrycz, W.: Knowledge-based clustering: from data to information granules. A John Wiley & Sons, Inc. (2005)

5. Pedrycz, W., Rai, P.: Collaborative Fuzzy Clustering with the use of Fuzzy C-Means and its Quantification. Fuzzy Sets and Systems (2008), doi:10.1016/j. fuss. 2007.12.030

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. $$\hbox {S}^{2}$$CFC: semi-supervised collaborative fuzzy clustering method;Journal of Ambient Intelligence and Humanized Computing;2021-06-27

2. New Knowledge-Transmission Mechanisms Based Horizontal Collaborative Fuzzy Clustering Algorithms for Unequal-Length Time Series;FRONT ARTIF INTEL AP;2019

3. A New Knowledge-Transmission Based Horizontal Collaborative Fuzzy Clustering Algorithm for Unequal-Length Time Series;Communications in Computer and Information Science;2018

4. A review of clustering techniques and developments;Neurocomputing;2017-12

5. Collaborative fuzzy clustering algorithm: Some refinements;International Journal of Approximate Reasoning;2017-07