Name
Abstract | ||
|---|---|---|
Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work,
a strategy to address the problem of cluster validation based on cluster stability properties is introduced. The stability
index proposed is based on information measures taking into account the variation on some of these measures due to the variability
in clustering solutions produced by different sample sets of the same problem. The experiments carried out on synthetic and
real database show the effectiveness of the cluster stability index when the clustering algorithm is based on a data structure
model adequate to the problem.
|
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85920-8_27 | Iberoamerican Congress on Pattern Recognition CIARP |
Keywords | Field | DocType |
clustering process,stability indices,important issue,different sample set,data structure model,stability index,cluster validation,clustering solution,cluster stability property,clustering algorithm,cluster stability index,information theory.,cluster stability assessment,theoretic information measures,information theory,data structure | Information theory,k-medians clustering,Cluster (physics),Data structure,Data mining,Stability index,Computer science,Stability assessment,Cluster analysis | Conference |
Volume | ISSN | Citations |
5197 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Damaris Pascual | 1 | 19 | 1.80 |
| Filiberto Pla | 2 | 557 | 60.06 |
| José Salvador Sánchez | 3 | 184 | 15.36 |