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