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Updated: Aug 12, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
A note on cluster analysis and depression: disparities in results produced by the application of different clustering
Abstract:
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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