MATLAB implementation of fuzzy C means clustering
2016-08-23
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Department of mathematics, graduate design, there are a lot of associated with the fuzzy mathematics. The title of my speech is on the validity of fuzzy clustering analysis, FCM algorithm is the indispensable part, here I will two iterative forms of FCM algorithm matlab code written in, perhaps some students it may come in handyKey Technology
Fuzzy C means clustering (FCM), which is known as fuzzy ISODATA, is used to determine the degree of membership of each data point to a clustering algorithm. In 1973, Bezdek proposed the algorithm as an improvement of the early hard C means clustering (HCM) method.FCM n Xi (i=1,2,... , n) is divided into C fuzzy group, and each group of clustering center, so that the value function of non similarity index reached the minimum. The main difference between FCM and FCM is that the HCM uses fuzzy partition, which makes each given data point value at 0, 1 degree of membership to determine thmatlab
fcm
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