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| Classification | 1 |
| Cluster Analysis | 1 |
| Cluster Grouping | 1 |
| Discriminant Analysis | 1 |
| Equations (Mathematics) | 1 |
| Monte Carlo Methods | 1 |
| Validity | 1 |
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| Multivariate Behavioral… | 1 |
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| Breckenridge, James N. | 1 |
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Peer reviewedBreckenridge, James N. – Multivariate Behavioral Research, 1989
A Monte Carlo study evaluated the effectiveness of three rules of classifying objects into clusters: nearest neighbor classification; nearest centroid assignment; and quadratic discriminant analysis. Results suggest that the nearest neighbor rule is a useful tool for assessing the validity of the clustering procedure of J. H. Ward (1963). (SLD)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Discriminant Analysis
