Fuzzy C-mean (FCM) Clustering

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Presentation transcript:

Fuzzy C-mean (FCM) Clustering

The EM (Expectation Maximization) Algorithm EM-Algoritma Expectation Step (E-step): menentukan pusat cluster secara random dan menghitung matrik partision sebagai fungsi keanggotaan Maximization Step (M-step): Memperbaiki pusat cluster sehingga jumlah jarak dari objek-objek terhadap pusat kluster yang baru dan hitunh SSE) 2

matrik partision

Fuzzy Clustering Using the EM Algorithm Initially, let c1 = a and c2 = b 1st E-step: assign o to c1,w. wt = 1st M-step: recalculate the centroids according to the partition matrix, minimizing the sum of squared error (SSE) Iteratively calculate this until the cluster centers converge or the change is small enough