Khaled A.S. Abdel-Ghaffar
IEEE Trans. Inf. Theory
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 to (1) handle the increasing abundance and complexity of data and to (2) improve the clustering results. In this survey, we present these enhanced approaches to subspace clustering by discussing the problems they are solving, their cluster definitions and algorithms. Besides enhanced subspace clustering, we also present the basic subspace clustering and the related works in high-dimensional clustering. © 2012 The Author(s).
Khaled A.S. Abdel-Ghaffar
IEEE Trans. Inf. Theory
Nanda Kambhatla
ACL 2004
M.F. Cowlishaw
IBM Systems Journal
Israel Cidon, Leonidas Georgiadis, et al.
IEEE/ACM Transactions on Networking