Finding Groups in Data: An Introduction to Cluster Analysis book download
Par morman anthony le mercredi, octobre 5 2016, 04:16 - Lien permanent
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
ISBN: 0471735787, 9780471735786
Format: pdf
Publisher: Wiley-Interscience
3Cellular and Molecular Physiology, Penn State Retina Research Group, Penn State College of Medicine, Milton S. Tags:Finding groups in data: An introduction to cluster analysis, tutorials, pdf, djvu, chm, epub, ebook, book, torrent, downloads, rapidshare, filesonic, hotfile, fileserve. Kaufman L, Rousseeuw PJ: Finding Groups in Data. It is undoubtedly both an excellent inroduction to and a. Finding Groups in Data: An Introduction to Cluster Analysis (Wiley. Hershey Medical Center, Hershey, Pennsylvania. An Introduction to Cluster Analysis. Finding Groups in Data: an Introduction to Cluster Analysis. 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. New York: John Wiley & Sons; 1990. Fraley C, Raftery AE: Model-based clustering, discriminant analysis, and density estimation. A linear mixed-effects model, which accounts for the repeated measurements per cell (i.e., the annuli per cell), was fit to the data, to compare the number of dendrite intersections per annulus between cells within each cluster in retinas .. 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.