hgpa.m
来自「聚类分析工具箱 亚历山大博士写的」· M 代码 · 共 27 行
M
27 行
% function cl = hgpa(cls,k)
%
% DESCRIPTION
% Performs HGPA for CLUSTER ENSEMBLES
%
% Copyright (c) 1998-2002 by Alexander Strehl
function cl = hgpa(cls,k)
disp('CLUSTER ENSEMBLES using HGPA');
if ~exist('k'),
k = max(max(cls));
end;
r = size(cls,1);
clb = [];
for i=1:r,
clb = [clb; cltoclb(cls(i,:))];
kq(i) = max(cls(i,:));
lastindex = sum(kq(1:i));
firstindex = lastindex-kq(i)+1;
xy(firstindex:lastindex,:) = [i*ones(kq(i),1) ((1:kq(i))')];
end;
cl = clhgraph(clb',k,ones(1,size(clb,1)));
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?