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| Cluster Analysis | 1 |
| Data Analysis | 1 |
| Multidimensional Scaling | 1 |
| Statistical Data | 1 |
| Statistical Distributions | 1 |
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| Psychometrika | 1 |
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| Pruzansky, Sandra | 1 |
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| Journal Articles | 1 |
| Reports - Research | 1 |
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Peer reviewedPruzansky, Sandra; And Others – Psychometrika, 1982
Two-dimensional euclidean planes and additive trees are two of the most common representations of proximity data for multidimensional scaling. Guidelines for comparing these representations and discovering properties that could help identify which representation is more appropriate for a given data set are presented. (Author/JKS)
Descriptors: Cluster Analysis, Data Analysis, Multidimensional Scaling, Statistical Data
