Clustering matrix sequences based on the iterative dynamic time deformation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901U0C" target="_blank" >RIV/61988987:17610/18:A1901U0C - isvavai.cz</a>
Result on the web
<a href="http://www.mecs-press.org/ijisa/ijisa-v10-n7/v10n7-7.html" target="_blank" >http://www.mecs-press.org/ijisa/ijisa-v10-n7/v10n7-7.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5815/ijisa.2018.07.07" target="_blank" >10.5815/ijisa.2018.07.07</a>
Alternative languages
Result language
angličtina
Original language name
Clustering matrix sequences based on the iterative dynamic time deformation
Original language description
The clustering method of video sequences based on the modified Iterative Dynamic Time Warping technique and the succeeding clustering of reduced time series driven by the matrix fuzzy clustering method of the harmonic K-means is presented. A key feature of the developed approach is its plainness of numerical realization (compared to the prototype-based method), which is extremely important for processing video sequences.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Intelligent Systems and Applications(IJISA)
ISSN
2074-904X
e-ISSN
2074-9058
Volume of the periodical
10
Issue of the periodical within the volume
7
Country of publishing house
HK - HONG KONG
Number of pages
8
Pages from-to
66-73
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85049386316