Enhanced subspace clustering

• Main Author: Sim, Kelvin Sian Hui.
• Other Authors: Vivekanand Gopalkrishnan
• Format: Theses and Dissertations
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies
• Online Access: http://hdl.handle.net/10356/48647
• Institution: Nanyang Technological University

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...