自适应密度峰值树聚类(Adaptive Density Peak Tree Clustering)
Project description
自适应密度峰值树聚类(Adaptive Density Peak Tree Clustering)
本算法是在快速搜索与发现密度峰值聚类算法(Clustering by fast search and find of density peaks)CFSFDP的基础上进行改进的成果,主要解决的问题有:
- 手动选择聚类中心
- 单簇多密度峰值导致类簇误分
- 面向时空数据聚类时,无法顾及时空耦合
原理:
通过CFSFDP算法的核心概念:局部密度和斥群值,构建密度峰值树,通过直达点、连通点和切割点分离子树,达到类簇划分的目的。
使用方法:
1. 安装:
pip install ADPTC-LIB
2. 空间数据聚类:
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