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Original Article

A Note on Cluster Analysis and Depression

Disparities In Results Produced by the Application Of Different Clustering Methods

Pages 99-102 | Received 29 Nov 1977, Published online: 06 Jul 2009
 

Synopsis

Cluster analysis is the most logically suited method for establishing psychiatric classifications. Different mathematical methods of clustering do, however, produce disparate results when applied to the same set of data. This study attempted to quantify the extent of such disparities, and found them to be marked. It was concluded that until cluster analysis has undergone further mathematical and statistical development, it should be used with caution.

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