Name
Title | ||
|---|---|---|
An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition |
Abstract | ||
|---|---|---|
•A new matrix factorization strategy is designed for Nyström spectral clustering.•Incomplete Cholesky decomposition is introduced to accelerate Nyström approximation.•An efficient Nyström spectral clustering algorithm called ICD-NSC is proposed.•The effectiveness of ICD-NSC is demonstrated by comprehensive experiments. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115813 | Expert Systems with Applications |
Keywords | DocType | Volume |
Spectral clustering,Nyström approximation,Incomplete Cholesky decomposition,Large data set | Journal | 186 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongjie Jia | 1 | 177 | 9.98 |
| Liangjun Wang | 2 | 7 | 4.21 |
| He-Ping Song | 3 | 7 | 3.32 |
| Qirong Mao | 4 | 261 | 34.29 |
| Shifei Ding | 5 | 1074 | 94.63 |