Sparse subspace representation for spectral document clustering

Sparse subspace representation for spectral document clustering

We present a novel method for document clustering using sparse representation of documents in conjunction with spectral clustering. An ℓ1-norm optimization formulation is posed to learn the sparse representation of each document, allowing us to characterize the affinity between documents by consider...

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Bibliographic Details
Main Authors: Budhaditya, S., Phung, D., Pham, DucSon, Venkatesh, S.
Other Authors: M. Jaki
Format: Conference Paper
Published: IEEE 2012
Subjects:
document clustering
sparse representation
Online Access:http://hdl.handle.net/20.500.11937/4290

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