Data Science, Classification, and Related Methods

Data Science, Classification, and Related Methods

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This volume contains selected papers covering a wide range of topics, including theoretical and methodological advances relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge seeking and discovery. The result is a broad view of the state of the art, making this an essential work not only for data analysts, mathematicians, and statisticians, but also for researchers involved in data processing at all stages from data gathering to decision making.Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27a€“30, 1996 ... SQC Established as a Toyota technical Methodology In order to be able to provide customer-oriented, attractive products, it is ... multivariate analysis method enables 70% to 80% of the mileage required to go before finding solution for a problem to be covered.

Title:Data Science, Classification, and Related Methods
Author:Chikio Hayashi, Keiji Yajima, Hans H. Bock, Noboru Ohsumi, Yutaka Tanaka, Yasumasa Baba
Publisher:Springer Science & Business Media - 2013-11-11


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