Fuzzy Clustering of Incomplete Data by Means of Similarity Measures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001Y37" target="_blank" >RIV/61988987:17610/19:A2001Y37 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/8879844" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8879844</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/UKRCON.2019.8879844" target="_blank" >10.1109/UKRCON.2019.8879844</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Clustering of Incomplete Data by Means of Similarity Measures
Original language description
The current standing in the scope of Data Mining considers clustering to be one of the most useful and widely used tools. Multiple real-world datasets usually contain drops/gaps in the data due to various reasons. The currently known approaches are highly efficient only in those cases when original datasets do not change their volumes during the analysis. However, current problems mostly deal with sequential online data processing. On the other hand, there is no prior knowledge on which feature vectors contain overlooks. In this manuscript, the challenge of possibilistic and probabilistic online clustering approaches for processing incomplete data is solved through similarity measures of a specific kind which are capable of either loosening outliers’ influence or repressing them.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON)
ISBN
978-1-7281-3882-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
957-960
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Lvov, Ukrajina
Event location
Lvov, Ukrajina
Event date
Jul 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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