摘要：
kmeansK-means clusteringSyntaxIDX = kmeans(X,k)[IDX,C] = kmeans(X,k)[IDX,C,sumd] = kmeans(X,k)[IDX,C,sumd,D] = kmeans(X,k)[...] = kmeans(...,param1,val1,param2,val2,...)DescriptionIDX = kmeans(X,k) partitions the points in the n-by-p data matrix X into k clusters. This iterative partitioning minimiz 阅读全文
摘要：
matlab-kmeans函数注释X = [randn(100,2)+ones(100,2);...randn(100,2)-ones(100,2)]; 产生100个样本点，行指向每个样本，列是维变量值。opts = statset('Display','final');[idx,ctrs] = kmeans(X,2,'Distance','city','Replicates',5,'Options',opts);%返回参数意义：[IDX,C,sumd,D]=kmeans()IDX:每个样本点所在的 阅读全文