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Wiley InterScience | ||||||||||||||
  Journal of the Royal Statistical Society: Series B (Statistical Methodology)Volume 63 Issue 2, Pages 411 - 423 Published Online: 6 Jan 2002 © 2010 The Royal Statistical Society and Blackwell Publishing Ltd Published on behalf of the Royal Statistical Society
Abstract | Full Text: PDF (Size: 281K) | Related Articles | Citation Tracking  Estimating the number of clusters in a data set via the gap statistic Copyright 2001 Royal Statistical Society KEYWORDS Clustering • Groups • Hierarchy • Uniform distribution ABSTRACTWe propose a method (the 'gap statistic') for estimating the number of clusters (groups) in a set of data. The technique uses the output of any clustering algorithm (e.g. K-means or hierarchical), comparing the change in within-cluster dispersion with that expected under an appropriate reference null distribution. Some theory is developed for the proposal and a simulation study shows that the gap statistic usually outperforms other methods that have been proposed in the literature.
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 | Significance |
Try to forecast the results of 10 different events, some sporting, some cultural, some just odd, that will take place between May and July 2010. Have Fun! | |
