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		<identifier>oai:zbc.uz.zgora.pl:78921</identifier>
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<dc:title xml:lang="pl"><![CDATA[An algorithm for reducing the dimension and size of a sample for data exploration procedures]]></dc:title>
<dc:creator><![CDATA[Kulczycki, Piotr]]></dc:creator>
<dc:creator><![CDATA[Łukasik, Szymon]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[dimension reduction]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[sample size reduction]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[linear transformation]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[simulated annealing]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[data mining]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[The paper deals with the issue of reducing the dimension and size of a data set (random sample) for exploratory data analysis procedures. The concept of the algorithm investigated here is based on linear transformation to a space of a smaller dimension, while retaining as much as possible the same distances between particular elements.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Elements of the transformation matrix are computed using the metaheuristics of parallel fast simulated annealing. Moreover, elimination of or a decrease in importance is performed on those data set elements which have undergone a significant change in location in relation to the others.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The presented method can have universal application in a wide range of data exploration problems, offering flexible customization, possibility of use in a dynamic data environment, and comparable or better performance with regards to the principal component analysis. Its positive features were verified in detail for the domain`s fundamental tasks of clustering, classification and detection of atypical elements (outliers).]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Kowal, Marek - red.]]></dc:contributor>
<dc:date><![CDATA[2014]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/78921/AMCS_2014_24_1_11.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/88734/edition/78921/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:78921]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 24, number 1 (2014)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=56]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:88734]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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