Monday, February 12, 2007

Fuzzy C-Means Clustering

The AlgorithmFuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method (developed by Dunn in 1973 and improved by Bezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function:]

You can get the details of FCM in the website:http://www.elet.polimi.it/upload/matteucc/Clustering/tutorial_html/cmeans.html

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