A survey on enhanced subspace clustering
Subspace clustering finds sets of objects that are homogeneous in subspaces of high-dimensional datasets, and has been successfully applied in many domains. In recent years, a new breed of subspace clustering algorithms, which we denote as enhanced subspace clustering algorithms, have been proposed...
Main Authors: | Sim, Kelvin, Gopalkrishnan, Vivekanand, Zimek, Arthur, Cong, Gao |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/107257 http://hdl.handle.net/10220/18032 |
Similar Items
-
Enhanced subspace clustering
by: Sim, Kelvin Sian Hui.
Published: (2012) -
PAMR : passive aggressive mean reversion strategy for portfolio selection
by: Li, Bin, et al.
Published: (2013) -
Signal subspace speech enhancement
by: Duvvuru Priyanka.
Published: (2013) -
Web application for mobile outpatient information system
by: Thivya Gopalkrishnan.
Published: (2013) -
Krylov subspace estimation
by: Schneider, Michael K. (Michael Klaus)
Published: (2005)