Testing of Feature Extracting Methods on Bar Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F07%3A00087572" target="_blank" >RIV/67985807:_____/07:00087572 - 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
Testing of Feature Extracting Methods on Bar Problem
Original language description
Compared is performance of several dimension reduction techniques as a tool for feature extraction. Studied are namely singular value decomposition, FastMap, semi-discrete decomposition, non-negative matrix factorization, novel neural network based algorithm for Boolean factor analysis and three frequently used cluster analysis methods as well. So called bars problem is used as the benchmark. Set of artificial signals generated as a Boolean sum of given number of bars is analyzed by these methods. Resulting images show that Boolean factor analysis is upmost suitable method for this kind of data.
Czech name
Testování metod pro extrakci příznaků na problému linií.
Czech description
Porovnávnává se několik metod pro redukci dimenze z hlediska jejich možného využití pro extrakci příznaků. Porovnávany jsou zejména metody SVD, FastMap, SDD, NMF, nový neuronový algoritmus BFA a tři často požívané metody.
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F05%2F0079" target="_blank" >GA201/05/0079: Formal concept analysis of indeterminate and large data: theory, methods, and applications</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Statistics for Data Mining, Learning and Knowledge Extraction
ISBN
978-90-73592-26-1
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
University of Aveiro
Place of publication
Aveiro
Event location
Aveiro
Event date
Aug 30, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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