Grouping points by shared subspaces for effective subspace clustering
作者：
Highlights：
• Compare properties of different subspace clustering algorithms.
• Introduce a new subspace clustering framework CSSub based on shared subspaces.
• CSSub decouples the candidate subspace selection process from the clustering process.
• CSSub enables different types of cluster definitions to be employed easily.
• Provide different subspace generation and scoring methods.
摘要
•Compare properties of different subspace clustering algorithms.•Introduce a new subspace clustering framework CSSub based on shared subspaces.•CSSub decouples the candidate subspace selection process from the clustering process.•CSSub enables different types of cluster definitions to be employed easily.•Provide different subspace generation and scoring methods.
论文关键词：Subspace clustering,Shared subspaces,Density-based clustering
论文评审过程：Received 13 September 2017, Revised 9 April 2018, Accepted 30 May 2018, Available online 31 May 2018, Version of Record 18 June 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2018.05.027
