Three Methods of Data Analysis in a Space with Closeness

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA21027JO" target="_blank" >RIV/61988987:17610/20:A21027JO - isvavai.cz</a>
Result on the web
<a href="http://www.worldscientific.com/doi/abs/10.1142/9789811223334_0114" target="_blank" >http://www.worldscientific.com/doi/abs/10.1142/9789811223334_0114</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/9789811223334_0114" target="_blank" >10.1142/9789811223334_0114</a>

Result language
angličtina
Original language name
Three Methods of Data Analysis in a Space with Closeness
Original language description
Three techniques of data analysis are examined: dimensionality reduction, locally linear embedding and the F-transform. We show that all of them can be connected using the notion of a fuzzy partition and the corresponding construction of a non-local Laplace operator. The article is endowed with results of two comprehensible numerical experiments that compare achieved outputs. An important conclusion is that the outputs correspond to values of the first degree F-transform components.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Developments of Artificial Intelligence Technologies in Computation and Robotics
ISBN
978-981-122-332-7
ISSN
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e-ISSN
—
Number of pages
9
Pages from-to
947-955
Publisher name
World Scientific Publishing Co. Pte. Ltd.
Place of publication
Singapore
Event location
Cologne
Event date
Aug 18, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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