Hierarchical Clustering Algorithms with Influence Detection
Richard Cheng, Glenn W. Milligan · Educational and Psychological Measurement · 1995
The computer program described in this study is based on the methodology developed by the authors to identify those individual data points that can affect the results of a cluster analysis. The computer program designed to compute the measure of internal influence is integrated with nine hierarchical clustering methods. Included among the methods is the first release of the Belbin, Faith, and Milligan 5-flexible clustering algorithm.