xuzhenhua
2008-04-12, 16:32
【资料名称】：聚类源码
【作者】：不详
【语言】：matlab
【格式】：doc
【摘要或目录】：function [bics,modelout,model,Z,clabs] = mbclust(data,maxclus);
% Model-based clustering - entire process
%
% [BICS,BESTMODEL,ALLMODELS,Z,CLABS] = MBCLUST(DATA,MAXCLUS);
%
% This does the entire MB Clustering given a set of data.
% It only does the 4 basic models, unequal-unknown priors. It
% returns the BESTMODEL based on the highest BIC.
%
% The output variable BICS contains the values of the BIC for
% each model (row) and number of clusters (col). The output variable
% CLABS contains the class labels for the input data according to the
% optimal clustering given by BIC.
【作者】：不详
【语言】：matlab
【格式】：doc
【摘要或目录】：function [bics,modelout,model,Z,clabs] = mbclust(data,maxclus);
% Model-based clustering - entire process
%
% [BICS,BESTMODEL,ALLMODELS,Z,CLABS] = MBCLUST(DATA,MAXCLUS);
%
% This does the entire MB Clustering given a set of data.
% It only does the 4 basic models, unequal-unknown priors. It
% returns the BESTMODEL based on the highest BIC.
%
% The output variable BICS contains the values of the BIC for
% each model (row) and number of clusters (col). The output variable
% CLABS contains the class labels for the input data according to the
% optimal clustering given by BIC.