Name
Abstract | ||
|---|---|---|
A pragmatic stopping rule is proposed for helping a user select good partitions using agglomerative hierarchical clustering procedures. This rule combines the distance dissimilarity in a dendrogram with the squared-error criterion for the evaluation of partitions in all hierarchical levels. The usefulness and the limitation of the proposed rule are demonstrated with several data sets. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1016/0167-8655(93)90127-Y | Pattern Recognition Letters |
Keywords | Field | DocType |
pattern classification,squared-error criterion,hierarchical clustering,optimal number of clusters,cluster analysis | Hierarchical clustering,Data mining,Data set,Pattern recognition,Dendrogram,Pattern analysis,Hierarchical clustering of networks,Artificial intelligence,Hierarchy,Stopping rule,Mathematics,Agglomerative hierarchical clustering | Journal |
Volume | Issue | ISSN |
14 | 1 | Pattern Recognition Letters |
Citations | PageRank | References |
2 | 1.76 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shi Xu | 1 | 2 | 3.11 |
| Markad V. Kamath | 2 | 22 | 4.11 |
| David W. Capson | 3 | 207 | 29.98 |