A Study of the Comparability of External Criteria for Hierarchical Cluster Analysis
| Autor: | Martha C. Cooper, Glenn W. Milligan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Statistics and Probability
Jaccard index Hierarchy (mathematics) Computer science Comparability Rank (computer programming) Rand index Experimental and Cognitive Psychology General Medicine computer.software_genre Hierarchical clustering Arts and Humanities (miscellaneous) Statistics Data mining Cluster grouping Cluster analysis computer |
| Zdroj: | Multivariate behavioral research. 21(4) |
| ISSN: | 0027-3171 |
| Popis: | Five external criteria were used to evaluate the extent of recovery of the true structure in a hierarchical clustering solution. This was accomplished by comparing the partitions produced by the clustering algorithm with the partition that indicates the true cluster structure known to exist in the data. The five criteria examined were the Rand, the Morey and Agresti adjusted Rand, the Hubert and Arabie adjusted Rand, the Jaccard, and the Fowlkes and Mallows measures. The results of the study indicated that the Hubert and Arabie adjusted Rank index was best suited to the task of comparison across hierarchy levels. Deficiencies with the other measures are noted. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|