Published under: data visualization, Data analytics, Cluster analysis, analytics software, k-means

Join Dr. Neil Polhemus as he discusses cluster analysis procedures in Statgraphics

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.

 

Register Now!