kmeans 多维聚类

idx = kmeans(X,k)
idx = kmeans(X,k,Name,Value)
[idx,C] = kmeans(___)
[idx,C,sumd] = kmeans(___)
[idx,C,sumd,D] = kmeans(___)
idx = kmeans(X,k) performs k-means clustering to partition the observations of the n-by-p data matrix X into k clusters, and returns an n-by-1 vector (idx) containing cluster indices of each observation. Rows of X correspond to points and columns correspond to variables.
By default, kmeans uses the squared Euclidean distance measure and the k-means++ algorithm for cluster center initialization.
idx = kmeans(X,k,Name,Value) returns the cluster indices with additional options specified by one or more Name,Value pair arguments.
For example, specify the cosine distance, the number of times to repeat the clustering using new initial values, or to use parallel computing.
[idx,C] = kmeans(___) returns the k cluster centroid locations in the k-by-p matrix C.
[idx,C,sumd] = kmeans(___) returns the within-cluster sums of point-to-centroid distances in the k-by-1 vector sumd.
[idx,C,sumd,D] = kmeans(___) returns distances from each point to every centroid in the n-by-k matrix D.这个貌似demo里面有
华硕k501lb显卡 七海ひさ代视频 origin of species 公司年会活动新闻稿 长发四股编发教程视频 海信tc2919h进总线 ps调整边缘不能用 脑电图棘慢波有事吗 nintendo switch重量 github使用知乎 狼人杀中白痴的作用 Brzzzers 丹麦女首相 150153十大重仓基金 尼康5018g样片欣赏 明星志愿林芬芬 顺子回家的故事 扩张 四姐妹全部 chuntiandhua flashcs3下载 itunes解除备份密码 托福网上课程 i7 870和i3 4160 查看linux用户列表 html5 本地缓存 绵阳到吴家后山 刘诗诗感觉很有心机 essence慕斯粉底真假 北邙山风水图 泛读the record

Copyright 知识库 Some Rights Reserved