Name
Abstract | ||
|---|---|---|
The large scale and complex nature of social media data raises the need to scale clustering techniques to big data and make them capable of automatically identifying data clusters with few empirical settings. In this paper, we present our investigation and three algorithms based on the fuzzy adaptive resonance theory (Fuzzy ART) that have linear computational complexity, use a single parameter, i.... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2015.2498625 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Subspace constraints,Clustering algorithms,Media,Robustness,Genetics,Encoding,Pattern recognition | Data mining,Adaptive resonance theory,Fuzzy clustering,Feature vector,Correlation clustering,Computer science,Fuzzy logic,FLAME clustering,Constrained clustering,Artificial intelligence,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 12 | 2162-237X |
Citations | PageRank | References |
8 | 0.45 | 39 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Meng | 1 | 48 | 6.68 |
| Ah-Hwee Tan | 2 | 1385 | 112.07 |
| Wunsch II Donald C. | 3 | 1354 | 91.73 |