UID:
almafu_9959328559902883
Umfang:
1 online resource (xiv, 342 pages) :
,
illustrations
ISBN:
9780470316801
,
0470316802
Inhalt:
An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering.
Anmerkung:
Partitioning around medoids (Program PAM) -- Clustering large applications (Program CLARA) -- Fuzzy analysis (Program FANNY) -- Agglomerative nesting (Program AGNES) -- Divisive analysis (Program DIANA) -- Monothetic analysis (Program MONA) -- Appendices -- References -- Author index -- Subject index.
Weitere Ausg.:
Print version: Kaufman, Leonard. Finding groups in data. New York : Wiley, ©1990 ISBN 0471878766
Weitere Ausg.:
ISBN 9780471878766
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470316801
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316801
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316801
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316801
