r语言k-means clustering相似度图层怎么输出
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解决时间 2021-04-04 04:20
- 提问者网友：愿为果
- 2021-04-03 23:47
r语言k-means clustering相似度图层怎么输出
最佳答案
- 五星知识达人网友：独钓一江月
- 2021-04-04 00:27
This page demonstrates k-means clustering with R.
> newiris <- iris
> newiris$Species <- NULL
Apply kmeans to newiris, and store the clustering result in kc. The cluster number is set to 3.
> (kc <- kmeans(newiris, 3))
K-means clustering with 3 clusters of sizes 38, 50, 62
Cluster means:
Sepal.Length Sepal.Width Petal.Length Petal.Width
1 6.850000 3.073684 5.742105 2.071053
2 5.006000 3.428000 1.462000 0.246000
3 5.901613 2.748387 4.393548 1.433871
> newiris <- iris
> newiris$Species <- NULL
Apply kmeans to newiris, and store the clustering result in kc. The cluster number is set to 3.
> (kc <- kmeans(newiris, 3))
K-means clustering with 3 clusters of sizes 38, 50, 62
Cluster means:
Sepal.Length Sepal.Width Petal.Length Petal.Width
1 6.850000 3.073684 5.742105 2.071053
2 5.006000 3.428000 1.462000 0.246000
3 5.901613 2.748387 4.393548 1.433871
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