Name
Abstract | ||
|---|---|---|
In this work, a novel technique to address the problem of cluster validation based on cluster stability properties is presented. The stability index here proposed is based on the variation on some information measures over the partitions generated by a given clustering model due to the variability in clustering solutions produced by different sample sets. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.patrec.2009.07.009 | Pattern Recognition Letters |
Keywords | Field | DocType |
novel technique,different sample set,information measure,stability index,cluster validation,clustering solution,clustering model,cluster stability property,information theory,information stability measure | Information theory,k-medians clustering,Data mining,Pattern recognition,Stability index,Signal classification,Artificial intelligence,Cluster analysis,Information measure,Mathematics | Journal |
Volume | Issue | ISSN |
31 | 6 | Pattern Recognition Letters |
Citations | PageRank | References |
7 | 0.46 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Damaris Pascual | 1 | 19 | 1.80 |
| Filiberto Pla | 2 | 557 | 60.06 |
| J. Salvador Sánchez | 3 | 139 | 14.01 |