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Grouping three‐mode data with mixture methods: the case of the diseased blue crabs
Author(s) -
Kroonenberg Pieter M.,
Basford Kaye E.,
Gemperline Paul J.
Publication year - 2004
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.896
Subject(s) - cluster analysis , trace (psycholinguistics) , mode (computer interface) , biology , zoology , computer science , fishery , ecology , artificial intelligence , philosophy , linguistics , operating system
The primary aim of this paper is to provide an introduction to a three‐mode method of clustering and the useful role it can fulfil in clustering chemical three‐mode data. The analysis of trace elements present in body tissues of diseased blue crabs caught along the coast of North Carolina serves as an example. The clustering method succeeded in separating the diseased crabs from healthy controls, lending support to the hypothesis that the trace elements were the origin of the blue crabs' disease. Copyright © 2005 John Wiley & Sons, Ltd.