Introduction - If you have any usage issues, please Google them yourself
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.