f4.m
来自「K-MEANS聚类算法」· M 代码 · 共 12 行
M
12 行
function [obj_fcn] =f4(center,cluster_n,data,expo)
dist = distfcm(center, data); % fill the distance matrix
tmp = dist.^(-2/(expo-1)); % calculate new U, suppose expo != 1
U= tmp./(ones(cluster_n, 1)*sum(tmp));
mf = U.^expo;
obj_fcn = sum(sum((dist.^2).*mf)); % objective function
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