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Cluster analysis --- Data mining --- System identification

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"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."-- "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics"--

Cluster analysis --- Cluster analysis. --- Probability & Statistics --- Multivariate Analysis --- Multivariate Analysis. --- Mathematical statistics --- Mathematics

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This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences.

Cluster analysis --- Computer algorithms --- Dimensional analysis --- Data processing --- Computer programs --- Computer algorithms. --- Physical measurements --- Algorithms --- Data processing. --- Computer programs. --- Cluster analysis - Data processing --- Cluster analysis - Computer programs --- Dimensional analysis - Data processing --- Dimensional analysis - Computer programs --- Acqui 2006

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Algorithms --- Discriminant analysis --- Cluster analysis --- Multivariate analysis --- Algorithmes --- Analyse discriminante --- Classification automatique (Statistique) --- Analyse multivariée --- Discriminant analysis. --- Exploratory statistics - Cluster analysis - Handbook --- Analyse multivariée

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A tremendous amount of work has been done over the last thirty years in cluster analysis, with a significant amount occurring since 1960. A substantial portion of this work has appeared in many journals, including numerous applied journals, and a unified ex­ position is lacking. The purpose of this monograph is to supply such an exposition by presenting a brief survey on cluster analysis. The main intent of the monograph is to give the reader a quick account of the prob­ lem of cluster analysis and to expose to him the various aspects thereof. With this intent in mind much detail has been omitted, particularly in so far as detailed examples are considered. Most of the references stated within the text contain examples and the reader can consult them for additional information on specific topics. Efforts were made to include in the reference section all papers that played a role in developing the "theory" of cluster analysis. Any omission of such references was not intentional and we would appreciate knowing about them. Many references to papers in applied journals are also contained, however, the list-is far from being complete. This monograph has been greatly influenced by the work of many people, most notably, J. A. Hartigan, D. Wishart, J. K. Bryan, R. E. Jensen, H. D. Vinod, and M. R. Rao. Several portions of the monograph were motivated by research performed under the support of NASA Manned Spacecraft Center, Earth Observations Division, under Contract NAS 9-12775.

Mathematical statistics --- Cluster analysis --- 519.8 --- Operational research --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Theory --- Cluster analysis. --- 519.8 Operational research --- Classification automatique (Statistique) --- Multivariate analysis --- Statistique mathématique --- Analyse multivariée --- Classification automatique (statistique)