Enhanced subspace clustering

Subspace clustering overcomes the curse of dimensionality that traditional clustering suffered, by finding groups of objects that are homogeneous in subspaces of the data, instead of the full space. Research on basic subspace clustering over the past decade primary focuses on finding groups of objec...

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Bibliographic Details
Main Author: Sim, Kelvin Sian Hui.
Other Authors: Vivekanand Gopalkrishnan
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48647