Find cluster centers with substractive clustering.
[centers,sigmas]=subclust(X [,r [, opt ]])
matrix of reals.The pairs of inputs points.
real vector of real.
[1x3] vector of real.
integer, maximum number of iterations. The defaul value is 100
scalar, minimum change value between two consecutive iterations. The default value is 0.001
subclust find cluster centers with substractive clustering for a matrix X in which each row contains a data point. r is a vector that specifies a cluster center's range of influence in each of the data dimensions, assuming the data falls within a unit hyperbox (internalli relized).
opt=[ACCEPT_RATIO, REJECT_RATIO, REDUCTION_RATIO]. If opt is not provided, then the routine use the followings: ACCEPT_RATIO=0.5, REJECT_RATIO=0.15, REDUCTION_RATIO=1.5.