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Finding Groups in Data: An Introduction to

Finding Groups in Data: An Introduction to

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

Finding Groups in Data: An Introduction to Cluster Analysis



Download Finding Groups in Data: An Introduction to Cluster Analysis




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


Stephan Holtmeier, who is a psychologist by background, presented an introduction to cluster analysis with R, motivated by his work in analysing survey data. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, John Wiley & Sons, Hoboken, NJ, USA, 2005. Finding Groups in Data: An Introduction to Cluster Analysis book download Leonard Kaufman, Peter J. 18 Our data provide information from 1995 and 2006 for 23 European countries, plus the US and Japan. 3 Collectivisation of wage bargaining. 5 Wage bargaining coordination and government involvement. The data comes from a questionnaire. Our goal was to establish an organizational classification which would group PHC organizations based on their common characteristics. Instructors can also use it as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining. My research question is about elderly people and I have to find out underlying groups. 5.1 Direct government involvement in wage setting. Audience The following groups will find this book a valuable tool and reference: applied statisticians; engineers and scientists using data analysis; researchers in pattern recognition, artificial intelligence, machine learning, and data mining; and applied mathematicians. 4 Centralisation of wage bargaining. The organizational data were analyzed .. The information obtained from the organizational survey enabled us to characterize PHC organizations.