Feature Condensing Algorithm for Feature Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150843" target="_blank" >RIV/68407700:21230/08:03150843 - 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
Feature Condensing Algorithm for Feature Selection
Original language description
A new unsupervised filter-based feature selection method is introduced. Its principle consists in merging similar features into clusters using a distance measure derived from the correlation coefficient. Subsequently, only one representative feature is selected from each cluster. In experiments with real-world data, we show that the proposed method is benefical as a pre-filtering step for more sophisticated feature selection techniques.
Czech name
Feature Condensing Algorithm for Feature Selection
Czech description
A new unsupervised filter-based feature selection method is introduced. Its principle consists in merging similar features into clusters using a distance measure derived from the correlation coefficient. Subsequently, only one representative feature is selected from each cluster. In experiments with real-world data, we show that the proposed method is benefical as a pre-filtering step for more sophisticated feature selection techniques.
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICPR 2008: Proceedings of the 19th International Conference on Pattern Recognition
ISBN
978-1-4244-2174-9
ISSN
1051-4651
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Omnipress
Place of publication
Madison
Event location
Tampa, Florida
Event date
Dec 8, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000264729001447