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

SIAM J Comput 1982, 11(4):721-736. The identification of the cluster centroid or the most representative [voucher or barcode] .. Simply stated, clustering involves Kaufman L, Rousseeuw PJ (2005) Finding groups in data: an introduction to Cluster Analysis. It is the art of finding groups in data and relies on the meaningful interpretation of the researcher or classifier [16]. Kaufman L, Rousseeuw PJ: Finding Groups in Data: An Introduction to Cluster Analysis. The exponential accumulation of DNA and protein sequencing data has demanded efficient tools for the comparison, analysis, clustering, and classification of novel and annotated sequences [1,2]. Kaufman L, Rousseeuw P: Finding Groups in Data: An Introduction to Cluster Analysis. Cluster profiles are examined . Jolliffe IT: Principal Component Analysis. Hoboken, NJ: John Wiley & Sons, Inc; 1990:1986. This study uses a two-step cluster analysis of opinion variables to segment consumers into four market segments (Potential activists, Environmentals, Neutrals, and National interests).