1. Fuzzy C-mean (FCM) Clustering

2. 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

3. matrik partision

6. 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