Monte Carlo Projective Clustering of Texts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A00207446" target="_blank" >RIV/00216208:11320/09:00207446 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Monte Carlo Projective Clustering of Texts
Original language description
In this paper we propose a new, improved version of a Monte Carlo projective clustering algorithm ?DOC. DOC was designed for general vector data and we extend it to deal with variable dimension significance and use it in web search snippets clustering. We discuss advantages and weaknesses of our approach with respect to known algorithms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICSOFT 2009 Proceedings of the 4th International Conference on Software and Data Technologies
ISBN
978-989-674-009-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
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Place of publication
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Event location
Neuveden
Event date
Jan 1, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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