FCM Data set clustering using fuzzy c-means clustering.

[CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of

clusters in the data set DATA. DATA is size M-by-N, where M is the number of

data points and N is the number of coordinates for each data point. The

coordinates for each cluster center are returned in the rows of the matrix

CENTER. The membership function matrix U contains the grade of membership of

each DATA point in each cluster. The values 0 and 1 indicate no membership

and full membership respectively. Grades between 0 and 1 indicate that the

data point has partial membership in a cluster. At each iteration, an

objective function is minimized to find the best location for the clusters

and its values are returned in OBJ_FCN.