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Shlukovací metody v data miningu

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dc.title Shlukovací metody v data miningu cs
dc.title Data mining with clustering en
dc.contributor.author Klímek, Petr
dc.relation.ispartof E+M Ekonomie a Management
dc.identifier.issn 1212-3609 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2008
utb.relation.volume 11
utb.relation.issue 2
dc.citation.spage 120
dc.citation.epage 127
dc.type article
dc.language.iso cs
dc.publisher Technická univerzita v Liberci cs
dc.relation.uri http://www.ekonomie-management.cz/archiv/vyhledavani/detail/608-shlukovaci-metody-v-data-miningu/
dc.subject data mining cs
dc.subject clustery cs
dc.subject data mining en
dc.subject clustering en
dc.subject nearest neighbour method en
dc.subject dendrogram en
dc.description.abstract One of the oppotunities in data mining is a use of clustering analysis. Clustering analysis belongs to unsupervised methods of data mining. We put here a focus on this method. Some basic principles are described in the second part of this paper. This method is examined on two examples from the marketing field. In the first example is used software Statgraphics 5.0Plus to solve clustering problem (nearest neighbour algorithm and Eucleidian distance); and in the second example is used Statistica 6.0Cz software (from Statoft; Inc.). cs
dc.description.abstract One of the oppotunities in data mining is a use of clustering analysis. Clustering analysis belongs to unsupervised methods of data mining. We put here a focus on this method. Some basic principles are described in the second part of this paper. This method is examined on two examples from the marketing field. In the first example is used software Statgraphics 5.0Plus to solve clustering problem (nearest neighbour algorithm and Eucleidian distance); and in the second example is used Statistica 6.0Cz software (from Statoft; Inc.). en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1001602
utb.identifier.rivid RIV/70883521:28120/08:63507644!RIV09-MSM-28120___
utb.identifier.obdid 43855149
utb.identifier.scopus 2-s2.0-46449094216
utb.identifier.wok 000256957300011
utb.source j-riv
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Klímek, Petr
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