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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
Page: 355
Format: pdf
Publisher: Wiley-Interscience
ISBN: 0471735787, 9780471735786

Maybe you have a table with all your customers, for each . Let me give you an example for an application first. The unsupervised classification of these data into functional groups or families, clustering, has become one of the principal research objectives in structural and functional genomics. Introduction to Classification. 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. The data comes from a questionnaire. Cluster analysis is one of those techniques I don't get to use very often. It may disappoint you but there is no text understanding and very little semantic analysis in place. Imaging you have your data in a database. Clustering tries to find groups of data in a given dataset so that rows in the same group are more “similar” to each other than rows of different groups. My research question is about elderly people and I have to find out underlying groups. So “Classification” – what's that?