kfcm_old.m

模糊核聚类算法的几篇论文及matlab源码

clc
clear all

% KFCM
% 变量说明
% x : 数据点
% v ：聚类中心

% fix c,tmax, m and delt
% c=5;% the number od clusters
tmax=50;
delt=0.001;% the number of data points

m=2; % the quantity controlling clustering fuzziness
maxU1=0;
maxU0=0;
% initialize uik0

%-----------------------------
% 初始化类中心
% load datapoint.mat
% load kes.txt;
data = [0 0 0.4 0.3 3 3 5 4;0 1 0.3 0.2 5 4 4.5 6];

% data=data(:,1:2);
tempM=size(data);
n=tempM(2);
% nCol=tempM(2);
% 
% datamin = min(data);
% % datamax=max(data,[],1);
% datamax = max(data);
% for i=1:n,
%     for j=1:nCol,
%         data(i,j)=(data(i,j)-datamin(1,j))/(datamax(1,j)-datamin(1,j));
%     end
% end
c=2;
u0=initU(c,n);

V=InitClusterCenter(u0,data,n,m,c);



X=data;
for t=1:tmax
  V=UpdateVi_Eq6(u0,V,X,c,m);
  u1=updateU_Eq5(X,V,m,c);
  u2=u1-u0;
  Et=max(max(abs(u2)));
  if Et<delt
    break
  else
      u0=u1;
  end
  
end