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Dynamic clustering for interval data based on L-2 distance

Title
Dynamic clustering for interval data based on L-2 distance
Type
Article in International Scientific Journal
Year
2006
Authors
de carvalho, fdat
(Author)
Other
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brito, p
(Author)
FEP
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bock, hh
(Author)
Other
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Journal
Vol. 21 No. 2
Pages: 231-250
ISSN: 0943-4062
Publisher: Springer Nature
Scientific classification
FOS: Natural sciences > Mathematics
Other information
Authenticus ID: P-004-PDM
Abstract (EN): This paper introduces a partitioning clustering method for objects described by interval data. It follows the dynamic clustering approach and uses an L-2 distance. Particular emphasis is put on the standardization problem where we propose and investigate three standardization techniques for interval-type variables. Moreover, various tools for cluster interpretation are presented and illustrated by simulated and real-case data.
Language: English
Type (Professor's evaluation): Scientific
Contact: fatc@cin.ufpe.br; mpbrito@fep.up.pt; bock@stochastik.rwth-aachen.de
No. of pages: 20
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