Name
Abstract | ||
|---|---|---|
Clustering is a common approach for finding the intrinsic pattern structure embedded in unlabeled data. In this paper, a new clustering algorithm, called black hole entropic fuzzy clustering (BHEFC), is presented to absorb the merits of three aspects: 1) black hole entropy (BHE)-based information theory; 2) fuzzy clustering; and 3) Bayesian inference model. First, through the link between clusteri... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSMC.2017.2682883 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Clustering algorithms,Entropy,Probabilistic logic,Inference algorithms,Astrophysics,Fuzzy logic,Computational modeling | Information theory,Fuzzy clustering,Mathematical optimization,Bayesian inference,Computer science,Fuzzy logic,Algorithm,Black hole thermodynamics,Dirichlet distribution,Probabilistic logic,Cluster analysis | Journal |
Volume | Issue | ISSN |
48 | 9 | 2168-2216 |
Citations | PageRank | References |
5 | 0.42 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiefang Liu | 1 | 5 | 0.42 |
| Fu-lai Chung | 2 | 244 | 34.50 |
| Shitong Wang | 3 | 1485 | 109.13 |