The Open UniversitySkip to content
 

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.

URL: http://www.springer.com
Google Scholar: Look up in Google Scholar

Abstract

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 Chapter
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/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Item ID: 24101
Depositing User: Sarah Frain
Date Deposited: 04 May 2011 10:21
Last Modified: 04 May 2011 10:21
URI: http://oro.open.ac.uk/id/eprint/24101
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk