In the last episode of Season 4, Greg and Patrick discuss the very cool exploratory technique of cluster analysis — including concepts of multivariate distance, hierarchical and non-hierarchical methods, and how it differs from mixture models. Along the way they also mention: Scandinavian architects, raccoons on meth, vegetarian hotdogs, sh*t-ton of do-loops, free-range jam, statistical hairballs, Euclid’s burial, the platypus problem, stars and galaxies, stealing from the hard sciences, ungulates & marsupials, and Amy-Marie.
Related Episodes
S1E20: Sir Mixture-A-Lot (Mixture Modeling)
S1E12: Measurement (Non)Invariance — Can We Ever Fail to Not Incorrectly Reject It?
Suggested Readings
Duran, B. S., & Odell, P. L. (2013). Cluster analysis: a survey (Vol. 100). Springer Science & Business Media.
Hennig, C., Meila, M., Murtagh, F., & Rocci, R. (Eds.). (2015). Handbook of cluster analysis. CRC Press.
Kaufman, L., & Rousseeuw, P. J. (2009). Finding groups in data: an introduction to cluster analysis. John Wiley & Sons.
Kettenring, J. R. (2006). The practice of cluster analysis. Journal of classification, 23(1), 3-30.
Punj, G., & Stewart, D. W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of marketing research, 20(2), 134-148.