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

Finding Groups in Data: An Introduction to Cluster Analysis


Finding.Groups.in.Data.An.Introduction.to.Cluster.Analysis.pdf
ISBN: 0471735787,9780471735786 | 355 pages | 9 Mb


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




Most of our sensory neocortex is engaged in the processing of visual inputs that we gather from our surroundings. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability 1967, 1:281-297. Kaufman L, Rousseeuw P: Finding Groups in Data: An Introduction to Cluster Analysis. Not surprisingly, visualization techniques are at the heart of science and engineering [1]. Humans are essentially a visual species. The identification of the cluster centroid or the most representative [voucher or barcode] .. Kaufman L, Rousseeuw PJ: Finding groups in data: an introduction to cluster analysis. One of the ultimate goals of .. SIAM J Comput 1982, 11(4):721-736. 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]. In contrast to supervised machine learning, unsupervised learning such as cluster analysis can be used independently of prior knowledge to find groups within data. Hoboken, New Jersey: Wiley; 2005.