Using Singularity Exponent in Distance based Classifier

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00351724" target="_blank" >RIV/67985807:_____/10:00351724 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using Singularity Exponent in Distance based Classifier
Original language description
The paper deals with using so called singularity exponent in a classifier that is based on ordered distances of patterns to a given (classified) pattern. The approximation of probability distribution mapping function of the distribution of points from the viewpoint of distances from a given point in a form of a suitable power (exponent) of a distance is presented together with a way how to state it. A classifier utilizing knowledge about explored data distribution in a space and a suggested expression of the exponent is presented. Experimental results on both synthetic and real-life data show interesting behavior (classification accuracy) of the classifier in comparison with other well-known classifiers.
Czech name
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Czech description
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Project
<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications
ISBN
978-1-4244-8135-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Cairo
Event date
Nov 29, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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