R kmeans 初始化 [英] R kmeans initialization

问题描述

在R编程环境中，我目前使用的是kmeans算法的标准实现(类型:help(kmeans)).看来我无法初始化起始质心.我指定 kmeans 算法给我 4 个簇，我想传递起始质心的矢量坐标.

In the R programming environment, I am currently using the standard implementation of the kmeans algorithm (type: help(kmeans)). It appears that I cannot initialize the starting centroids. I specify the kmeans algorithm to give me 4 clusters and I would like to pass the vector coordinates of the starting centroids.

1. 是否有 kmeans 的实现允许我传递初始质心坐标?

1. Is there an implementation of kmeans to allow me to pass initial centroid coordinates?

推荐答案

是的.您提到的实现允许您指定起始位置.您通过 centers 参数传入它们

Yes. The implementation you mention allows you to specify starting positions. You pass them in through the centers parameter

> dat <- data.frame(x = rnorm(99, mean = c(-5, 0 , 5)), y = rnorm(99, mean = c(-5, 0, 5)))
> plot(dat)
> start <- matrix(c(-5, 0, 5, -5, 0, 5), 3, 2)
> kmeans(dat, start)
K-means clustering with 3 clusters of sizes 33, 33, 33

Cluster means:
           x           y
1 -5.0222798 -5.06545689
2 -0.1297747 -0.02890204
3  4.8006581  5.00315151

Clustering vector:
 [1] 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2
[51] 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3

Within cluster sum of squares by cluster:
[1] 58.05137 73.81878 52.45732
 (between_SS / total_SS =  94.7 %)

Available components:

[1] "cluster"      "centers"      "totss"        "withinss"     "tot.withinss" "betweenss"   
[7] "size"  

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