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Non-probabilistic classification

Gower, John C. and Ross, Gavin J. S. (1998). Non-probabilistic classification. In: Rizzi, Alfredo; Vichi, Maurizio and Bock, Hans Hermann eds. Advances in Data Science and Classification. New York, NY U.S.: Springer, pp. 21–28.

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About the book:
The book provides new developments in classification and data analysis, and presents new topics which are of central interest to modern statistics. In particular, these include classification theory, multivariate data analysis, multi-way data, proximity structure analysis, new software for classification and data analysis, and applications in social, economic, medical and other sciences. For many of these topics, this book provides a systematic state of the art written by top researchers in the world. This book will serve as a helpful introduction to the area of classification and data analysis for research workers and support the transfer of new advances in data science and classification to a wide range of applications.

Item Type: Book Section
Copyright Holders: 1998 Springer
ISBN: 3-540-64641-8, 978-3-540-64641-9
Extra Information: proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98), Università "La Sapienza", Rome, 21-24 July, 1998
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 24101
Depositing User: Sarah Frain
Date Deposited: 04 May 2011 10:21
Last Modified: 02 May 2018 13:18
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