Name
Title | ||
|---|---|---|
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering. |
Abstract | ||
|---|---|---|
•Subspace clustering is solved from nonlinear orthogonal NMF perspective.•General kernel-based multiplicative orthogonal updates for NMF are derived.•Explicit orthogonality constraint excludes the usual k-means clustering step.•The local geometric structure is included via fully connected graph regularization.•A connection between spectral clustering and kernel orthogonal NMF is established. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2018.04.029 | Pattern Recognition |
Keywords | DocType | Volume |
Subspace clustering,Non-negative matrix factorization,Orthogonality,Kernels,Graph regularization | Journal | 82 |
Issue | ISSN | Citations |
1 | 0031-3203 | 6 |
PageRank | References | Authors |
0.42 | 31 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dijana Tolic | 1 | 6 | 0.76 |
| Nino Antulov-Fantulin | 2 | 24 | 8.91 |
| Ivica Kopriva | 3 | 146 | 16.60 |