Algorithms for Time Series Comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00179292" target="_blank" >RIV/62156489:43110/11:00179292 - 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
Algorithms for Time Series Comparison
Original language description
In this paper we compare results of four chosen algorithms suitable for the time series clustering. The comparison is made in sense of agreement between clustering results represented in a special form of confusion matrix (matching matrix). We use a musical data, specifically music excerpts volume development, as a time series instances. This musical characteristic is used in computer-aided tool for musical analysis developed by our group.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
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
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Research in Applied Informatics
ISBN
978-1-61804-034-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
217-221
Publisher name
WSEAS Press
Place of publication
Prague
Event location
Prague, Czech Republic
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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