Name
Abstract | ||
|---|---|---|
•A rank-based framework for clustering tasks is proposed based on manifold learning.•Unsupervised similarity learning is exploited for clustering efficiency.•The experiments considered different related methods on various image datasets.•Traditional and recent state-of-the-art clustering methods were compared.•The effectiveness is demonstrated through the superior results of our approach. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2021.08.080 | Information Sciences |
Keywords | DocType | Volume |
Clustering,Manifold learning,Similarity learning,Ranking | Journal | 580 |
ISSN | Citations | PageRank |
0020-0255 | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bionda Rozin | 1 | 1 | 0.35 |
| Vanessa Helena Pereira-Ferrero | 2 | 1 | 0.35 |
| Leonardo Tadeu Lopes | 3 | 1 | 0.35 |
| Daniel Carlos Guimarães Pedronette | 4 | 304 | 25.47 |