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...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/4290 |