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

The identification of the cluster centroid or the most representative [voucher or barcode] .. The information obtained from the organizational survey enabled us to characterize PHC organizations. Finding Groups in Data: An Introduction to Cluster Analysis. The organizational data were analyzed .. Finding groups in data: An introduction to cluster analysis. 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 Leonard Kaufman, Peter J. SIAM J Comput 1982, 11(4):721-736. Our goal was to establish an organizational classification which would group PHC organizations based on their common characteristics. 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.