Published under: data visualization, Data analytics, Cluster analysis, analytics software, k-means
Join Dr. Neil Polhemus as he discusses cluster analysis procedures in Statgraphics
Wednesday, April 19 at 11AM ET
This webinar discusses the use of cluster analysis for dividing a set of objects into groups. Creation of the groups is based on the values of multiple quantitative variables. Seven methods are covered, including nearest neighbor clustering, Ward’s method, and the method of k-means. The results of the clustering are presented as dendrograms, icicle plots, agglomeration distance plots, coded scatterplots, and colored maps.