Name
Abstract | ||
|---|---|---|
•We present a new model for clustering data from heterogeneous dissimilarity matrices.•The model is robust and insensitive to various types of clustering data.•We propose a VNS that outperforms general purpose exact solvers in all tested cases. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ejor.2016.03.033 | European Journal of Operational Research |
Keywords | Field | DocType |
Data mining,Clustering,Heterogeneity,Optimization,Heuristics | Fuzzy clustering,Mathematical optimization,CURE data clustering algorithm,Correlation clustering,Algorithm,Consensus clustering,Constrained clustering,FLAME clustering,Cluster analysis,Mathematics,Single-linkage clustering | Journal |
Volume | Issue | ISSN |
253 | 3 | 0377-2217 |
Citations | PageRank | References |
6 | 0.41 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Éverton Santi | 1 | 13 | 1.53 |
| Daniel Aloise | 2 | 344 | 24.21 |
| Simon J. Blanchard | 3 | 8 | 1.80 |