A Monte Carlo Study of the Recovery of Cluster Structure in Binary Data by Hierarchical Clustering Techniques

Multivariate Behavioral Research
S Hands, B Everitt

Abstract

A Monte Carlo study was made of the recovery of cluster structure in binary data by five hierarchical techniques, with a view to finding which data structure factors influenced recovery and to determining differences between clustering methods with respect to these factors. Recovery was found to increase as the number of groups decreased, as the number of variables increased, as the mixing proportions tended towards equality, and as the number of observations was increased. Single link was found to be much worse than the other clustering techniques.

References

Jan 1, 1983·IEEE Transactions on Pattern Analysis and Machine Intelligence·G W MilliganL M Sokol
Jul 1, 1980·Multivariate Behavioral Research·C Edelbrock, B McLaughlin
Jul 1, 1981·Multivariate Behavioral Research·G W Milligan

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Citations

Jun 17, 2008·American Journal of Public Health·Souradet Y ShawJohn L Wylie
Dec 16, 2004·Psychological Methods·Michael J Brusco
Mar 7, 2014·Journal of Clinical and Experimental Neuropsychology·María Campos-MagdalenoArturo Xosé Pereiro
May 8, 2015·Prevention Science : the Official Journal of the Society for Prevention Research·David HenryJames G Kelly
Dec 19, 2017·The Science of the Total Environment·Daniel Jato-EspinoFrancisco Ballester-Muñoz
Apr 15, 2021·Applied Clinical Informatics·Naleef FareedCynthia J Sieck
May 5, 2021·The Journal of the Acoustical Society of America·Emma OzanichSimon Freeman

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