clustering.asv
来自「动态聚类的k均值算法--用k均值算法解决动态聚类问题」· ASV 代码 · 共 17 行
ASV
17 行
function [KindData,KindNum]=Clustering(Center,Data)
[DataRow,DataColumn]=size(Data);
[CenterRow,CenterColumn]=size(Center);
KindData=zeros(CenterColumn,DataRow,DataColumn);
KindNum=linspace(0,0,CenterColumn);
for i=1:DataColumn
Distance=linspace(0,0,CenterColumn);
for j=1:CenterColumn
for k=1:DataRow
Distance(j)=Distance(j)+(Data(k,i)-Center(k,j)).^2;
end
end
Distance=sqrt(Distance);
[X,Y]=min(Distance);
KindData(Y,:,KindNum(Y)+1)=Data(:,)
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