Name
Abstract | ||
|---|---|---|
As a fundamental step in various data analysis, exemplar-based clustering aims at clustering data by identifying representative samples as exemplars of the obtained groups. In this paper, a new fast exemplar-based clustering approach is proposed for a dataset with an arbitrary shape and number of clusters. The proposed approach begins with the reduced set of a dataset, which is a condensation of t... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSMC.2017.2689789 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Shape,Kernel,Estimation,Biomedical imaging,Clustering algorithms,Cybernetics,Benchmark testing | Kernel (linear algebra),Cluster (physics),Pattern recognition,Computer science,Artificial intelligence,Cluster analysis,Machine learning,Benchmark (computing),Cybernetics,Kernel density estimation,Estimator | Journal |
Volume | Issue | ISSN |
49 | 5 | 2168-2216 |
Citations | PageRank | References |
4 | 0.41 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanpeng Zhang | 1 | 30 | 2.54 |
| Fu-lai Chung | 2 | 244 | 34.50 |
| Shitong Wang | 3 | 1485 | 109.13 |