在聚类分析中，K-均值聚类算法（k-means algorithm）是无监督分类中的一种基本方法，其也称为C-均值算法，其基本思想是：通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。

-In cluster analysis, K-means clustering algorithm (k-means algorithm) is unsupervised classification is a basic method, which is also known as C-means algorithm, the basic idea is: Through an iterative approach, successive updates The value of the cluster centers until getting the best clustering results.