Name
Title | ||
|---|---|---|
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. |
Abstract | ||
|---|---|---|
In this paper, we propose a unified framework to discover the number of clusters and group the data points into different clusters using subspace clustering simultaneously. Real data distributed in a high-dimensional space can be disentangled into a union of low-dimensional subspaces, which can benefit various applications. To explore such intrinsic structure, state-of-the-art subspace clustering ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2019.2903294 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Optimization,Correlation,Clustering methods,Computer vision,Matrix decomposition,Clustering algorithms,Sparse matrices | Data point,Pairwise comparison,Spectral clustering,Data structure,Pattern recognition,Determining the number of clusters in a data set,Linear subspace,Robustness (computer science),Artificial intelligence,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 8 | 1057-7149 |
Citations | PageRank | References |
4 | 0.40 | 64 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| jie liang | 1 | 26 | 10.90 |
| Jufeng Yang | 2 | 61 | 9.97 |
| Ming-Ming Cheng | 3 | 1914 | 82.32 |
| Paul L. Rosin | 4 | 2559 | 254.25 |
| Liang Wang | 5 | 4317 | 243.28 |