subspace clustering
Subspace clustering is an extension of traditional clustering that seeks to
find clusters in different subspaces within a dataset. Often in high
dimensional data, many dimensions are irrelevant and can mask existing
clusters in noisy data.
Subspace clustering algorithms:
Exact:
- SUBCLU
- DUSC, EDSC, INSCY, GPU-INSCY
Statistical:
- P3C
- STATPC
Grid based:
- CLIQUE
- MAFIA, GPU-MAFIA
- ENCLUS
Projected:
- PROCLUS
- ORCLUS
- FINDIT