Finding Groups in Data: An Introduction to Cluster Analysis by Leonard Kaufman, Peter J. Rousseeuw

Finding Groups in Data: An Introduction to Cluster Analysis Leonard Kaufman, Peter J. Rousseeuw ebook
ISBN: 0471735787, 9780471735786
Page: 355
Format: pdf
Publisher: Wiley-Interscience

Hoboken, New Jersey: Wiley; 2005. Cluster analysis is one of those techniques I don't get to use very often. Kaufman L, Rousseeuw PJ: Finding groups in data: an introduction to cluster analysis. Hoboken, NJ: John Wiley & Sons, Inc; 1990:1986. Finding groups in data: An introduction to cluster analysis. Stephan Holtmeier, who is a psychologist by background, presented an introduction to cluster analysis with R, motivated by his work in analysing survey data. The Wiley–Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. Jolliffe IT: Principal Component Analysis. Hierarchical cluster analysis allows visualization of high dimensional data and enables pattern recognition and identification of physiologic patient states. Kaufman L, Rousseeuw PJ: Finding Groups in Data: An Introduction to Cluster Analysis. About once every couple of years someone will be doing a study of types of companies, patients or clients and have a need for a cluster analysis. Because the clustering method failed to separate the patient data into groups by obvious traditional physiological definitions these results confirm our hypothesis that clustering would find meaningful patterns of data that were otherwise impossible to physiologically discern or classify using traditional clinical definitions. Rousseeuw (1990), "Finding Groups in Data: an Introduction to Cluster Analysis" , Wiley. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability 1967, 1:281-297. Complete code of six stand-alone Fortran programs for cluster analysis, described and illustrated in L.