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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
The search for subtypes of DCD: is cluster analysis the answer?
J J Macnab1, L T Miller, H J Polatajko
1Department of Biostatistics and Epidemiology, Biostatistical Support Unit, University of Western Ontario, London, Ont., Canada N6A 5C1. jmacnab@biostats.uwo.ca
Abstract:
Studies using cluster analysis as a method to identify distinct subtypes of developmental coordination disorder (DCD) have been inconclusive leading some authors to conclude that the method of cluster analysis should be abandoned while others call for the validation of previously defined subtypes. The objective of the current study was to examine the use of cluster analysis as a method of searching for subtypes of DCD to gain a better understanding of how different samples and different measures influence the interpretation of results. The paper provides a detailed review of three commonly cited cluster analytical studies and then explores the possible reasons for the discrepant results by replicating the approach with a different clinical sample. The results highlight the impact of different measures on cluster structure and the importance of adoption of a common standard to facilitate interpretation across studies.
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