initfcm.m

最新模糊逻辑工具箱

function U = initfcm(cluster_n, data_n)
%INITFCM Generate initial fuzzy partition matrix for fuzzy c-means clustering.
%   U = INITFCM(CLUSTER_N, DATA_N) randomly generates a fuzzy partition
%   matrix U that is CLUSTER_N by DATA_N, where CLUSTER_N is number of
%   clusters and DATA_N is number of data points. The summation of each
%   column of the generated U is equal to unity, as required by fuzzy
%   c-means clustering.
%
%       See also DISTFCM, FCMDEMO, IRISFCM, STEPFCM, FCM.

%   Roger Jang, 12-1-94.
%   Copyright (c) 1994-98 by The MathWorks, Inc.
%   $Revision: 1.6 $  $Date: 1997/12/01 21:45:04 $

U = rand(cluster_n, data_n);
col_sum = sum(U);
U = U./col_sum(ones(cluster_n, 1), :);