Clustering of Documents via Similarity Measures.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F03%3A00008391" target="_blank" >RIV/61989100:27240/03:00008391 - 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
Clustering of Documents via Similarity Measures.
Original language description
The paper presents a document analysis case based on similarity measures between two documents. The algorithm is based on the proximity matrix. Initially, the document-term matrix is converted into a proximity matrix. The proximity matrix is then processed using standard clustering algorithms. Comparative numerical results are provided.
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
<a href="/en/project/GA201%2F01%2F1192" target="_blank" >GA201/01/1192: Research of neural networks capability to provide nonlinear Boolean factor analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 2003 International Conference on Communications in Computing
ISBN
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ISSN
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e-ISSN
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Number of pages
7
Pages from-to
271-277
Publisher name
CSREA Press
Place of publication
Las Vegas, Nevada
Event location
Las Vegas, Nevada
Event date
Jan 1, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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