数据挖掘之聚类
聚类 OverView
数据挖掘的方法可以有以下的划分：
- Partitioning Methods (将一组数据划分为不同的聚类)
- K-Means
- Sequential Leader
- Model Based Methods
- Density Based Methods
- Hierarchical Methods (层次聚类)
What is cluster analysis ? 什么是聚类分析
- Finding groups of obejcts
- Object similar to each other are in the same group，相似的物体应被聚为一类。
- Object are different from those in other groups，不相似的物体应聚为不同类别。
- Unsupervised learning 无监督学习
- NO labels， 无标签