Literature DB >> 26782907

Effects of Group Size and Lack of Sphericity on the Recovery of Clusters in K-means Cluster Analysis.

Saskia de Craen, Jacques J F Commandeur, Laurence E Frank, Willem J Heiser.   

Abstract

K-means cluster analysis is known for its tendency to produce spherical and equally sized clusters. To assess the magnitude of these effects, a simulation study was conducted, in which populations were created with varying departures from sphericity and group sizes. An analysis of the recovery of clusters in the samples taken from these populations showed a significant effect of lack of sphericity and group size. This effect was, however, not as large as expected, with still a recovery index of more than 0.5 in the "worst case scenario." An interaction effect between the two data aspects was also found. The decreasing trend in the recovery of clusters for increasing departures from sphericity is different for equal and unequal group sizes.

Year:  2006        PMID: 26782907     DOI: 10.1207/s15327906mbr4102_2

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  3 in total

1.  Cross validation issues in multiobjective clustering.

Authors:  Michael J Brusco; Douglas Steinley
Journal:  Br J Math Stat Psychol       Date:  2008-12-03       Impact factor: 3.380

2.  Supervised classification in the presence of misclassified training data: a Monte Carlo simulation study in the three group case.

Authors:  Jocelyn Holden Bolin; W Holmes Finch
Journal:  Front Psychol       Date:  2014-02-28

3.  Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis.

Authors:  Wenjing Ye; Weiwei Lu; Yanping Tang; Guoxi Chen; Xiaopan Li; Chen Ji; Min Hou; Guangwang Zeng; Xing Lan; Yaling Wang; Xiaoqin Deng; Yuyang Cai; Hai Huang; Ling Yang
Journal:  Front Med (Lausanne)       Date:  2020-11-12
  3 in total

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