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Finding Groups in Data: An Introduction to Cluster Analysis Leonard Kaufman, Peter J. Rousseeuw
Publisher: Wiley-Interscience

Knowledge Discovery and Data Mining (PAKDD. Finding Groups in Data: An Introduction to Cluster Analysis (Wiley. Data in the literature and market collections were organized in an Excel spreadsheet that contained species as rows and sources as columns. 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. The aims of Module 1 are: To give a broad overview of how research questions might be answered through . In Module 1 we look at quantitative research and how we collect data, in order to provide a firm foundation for the analyses covered in later modules. When individuals form groups or clusters, we might expect that two randomly selected individuals from the same group will tend to be more alike than two individuals selected from different groups. The goal of cluster analysis is to group objects together that are similar. Stephan Holtmeier, who is a psychologist by background, presented an introduction to cluster analysis with R, motivated by his work in analysing survey data. Publications on Spatial Database and Spatial Data Mining at UMN .