Literaturnachweis - Detailanzeige
Autor/in | Schweizer, Karl |
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Titel | A Correlation-Based Decision Rule for Determining the Number of Clusters and its Efficiency in Uni- and Multi-Level Data. |
Quelle | In: Multivariate Behavioral Research, 27 (1992) 1, S.77-94 |
Sprache | englisch |
Dokumenttyp | gedruckt; Zeitschriftenaufsatz |
ISSN | 0027-3171 |
Schlagwörter | Cluster Analysis; Cluster Grouping; Comparative Analysis; Correlation; Decision Making; Equations (Mathematics); Mathematical Models; Matrices |
Abstract | Two versions of a decision rule for determining the most appropriate number of clusters on the basis of a correlation matrix are presented, applied, and compared with three other decision rules. The new rule is efficient for determining the number of clusters on the surface level for multilevel data. (SLD) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |