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Comparison of modern clustering algorithms for twodimensional data

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dc.title Comparison of modern clustering algorithms for twodimensional data en
dc.contributor.author Kotyrba, Martin
dc.contributor.author Volná, Eva
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof Proceedings - 28th European Conference on Modelling and Simulation, ECMS 2014
dc.identifier.isbn 9780956494481
dc.date.issued 2014
dc.citation.spage 346
dc.citation.epage 351
dc.event.title 28th European Conference on Modelling and Simulation, ECMS 2014
dc.event.location Brescia
utb.event.state-en Italy
utb.event.state-cs Itálie
dc.event.sdate 2014-05-27
dc.event.edate 2014-05-30
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2014-0346
dc.relation.uri http://www.scs-europe.net/dlib/2014/2014-0346.htm
dc.relation.uri http://www.scs-europe.net/dlib/2014/ecms14papers/is_ECMS2014_0082.pdf
dc.subject Cluster analysis en
dc.subject DBSCAN en
dc.subject K-Means en
dc.subject Self Organising Map Algorithm en
dc.description.abstract Cluster analysis or clustering is a task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is the main task of exploratory data mining and a common technique for statistical data analysis used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics.The topic of this paper is modern methods of clustering. The paper describes the theory needed to understand the principle of clustering and descriptions of algorithms used with clustering, followed by a comparison of the chosen methods. Proceedings 28th European Conference on Modelling and Simulation © ECMS Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani (Editors). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004614
utb.identifier.obdid 43871861
utb.identifier.scopus 2-s2.0-84905758029
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:54:24Z
dc.date.available 2015-06-04T12:54:24Z
utb.contributor.internalauthor Komínková Oplatková, Zuzana
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