Data Depth and its Applications in Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33161987" target="_blank" >RIV/61989592:15310/16:33161987 - isvavai.cz</a>
Result on the web
<a href="http://elib.bsu.by/bitstream/123456789/158362/1/Vencalek.pdf" target="_blank" >http://elib.bsu.by/bitstream/123456789/158362/1/Vencalek.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data Depth and its Applications in Classification
Original language description
Concept of data depth provides one possible approach to the analysis of multivariate data. Among other it can be also used for classification purposes. The present paper summarizes main ideas how the depth can be used in classification. Two step scheme of the typical depth-based classifiers is discussed. Different choices of the depth function and classification procedure used in this scheme lead to different classifiers with different properties. Different distributional assumptions might lead to the preference of either global or local depth functions and classification procedures.
Czech name
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Czech description
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Project
<a href="/en/project/GA15-06991S" target="_blank" >GA15-06991S: Functional data analysis and related topics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the XI International conference Computer data analysis and modeling: theoretical and applied stochastics
ISBN
978-985-553-366-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
74-78
Publisher name
Publishing Center of BSU
Place of publication
Minsk
Event location
Minsk
Event date
Sep 6, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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