subspace clustering

1Subspace clustering is an extension of traditional clustering that seeks to 
2find clusters in different subspaces within a dataset. Often in high 
3dimensional data, many dimensions are irrelevant and can mask existing 
4clusters in noisy data.
5
6Subspace clustering algorithms:
7	Exact:
8		- SUBCLU
9		- DUSC, EDSC, INSCY, GPU-INSCY
10    Statistical:
11      	- P3C
12    	- STATPC
13    Grid based:
14    	- CLIQUE
15		- MAFIA, GPU-MAFIA
16        - ENCLUS
17    Projected:
18    	- PROCLUS
19        - ORCLUS
20        - FINDIT