Strong Consistency of $K$-Means Clustering 论文
1981The Annals of Statistics引用 464
Advanced Clustering Algorithms ResearchFace and Expression RecognitionBayesian Methods and Mixture Models
详细信息
- 发表期刊/会议
- The Annals of Statistics
- 发表日期
- 1981-01-01
- 发表年份
- 1981
关键词
Advanced Clustering Algorithms ResearchFace and Expression RecognitionBayesian Methods and Mixture Models
摘要
A random sample is divided into the $k$ clusters that minimise the within cluster sum of squares. Conditions are found that ensure the almost sure convergence, as the sample size increases, of the set of means of the $k$ clusters. The result is proved for a more general clustering criterion.