Name
Title | ||
|---|---|---|
Visual hierarchical cluster structure: A refined co-association matrix based visual assessment of cluster tendency |
Abstract | ||
|---|---|---|
•We employ a refined and transformed co-association matrix as the input of VAT.•An efficient path-based similarity algorithm is presented and its time complexity is O(N2).•A simple approach to analyze D* and obtain the clustering is designed.•A visual hierarchical cluster structure can be presented. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.patrec.2015.03.007 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Hierarchical clustering,Visual assessment of cluster tendency,Co-association matrix,Ensemble | Journal | 59 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
20 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caiming Zhong | 1 | 146 | 11.15 |
| Xiaodong Yue | 2 | 248 | 21.94 |
| Jingsheng Lei | 3 | 691 | 69.87 |