Hana Rezanková - researchr alias

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Viewing Publication 1 - 24 from 24

2022

Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variablesZdenek Sulc, Jana Cibulkova, Hana Rezanková. cstat, 37(5):2161-2184, 2022. [doi]

2019

Comparison of Similarity Measures for Categorical Data in Hierarchical ClusteringZdenek Sulc, Hana Rezanková. classification, 36(1):58-72, 2019. [doi]

2012

2011

Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept AnalysisEduard Bartl, Hana Rezanková, Lukas Sobisek. rskt 2011: 26-35 [doi]

Forcoa.NET: An interactive tool for exploring the significance of authorship networks in DBLP dataZdenek Horak, Milos Kudelka, Václav Snásel, Ajith Abraham, Hana Rezanková. cason 2011: 261-266 [doi]

Evaluation of Categorical Data ClusteringHana Rezanková, Tomas Loster, Dusan Húsek. awic 2011: 173-182 [doi]

Comparison of Selected Methods for Document ClusteringRadim Sevcik, Hana Rezanková, Dusan Húsek. awic 2011: 101-110 [doi]

Batch FCM with volume prototypes for clustering high-dimensional datasets with large number of clustersTomas Vintr, Lukas Pastorek, Vanda Vintrova, Hana Rezanková. nabic 2011: 427-432 [doi]

Autonomous Robot Navigation Based on Clustering across ImagesTomas Vintr, Lukas Pastorek, Hana Rezanková. EUROBOT 2011: 310-320 [doi]

2009

Web Data ClusteringDusan Húsek, Jaroslav Pokorný, Hana Rezanková, Václav Snásel. In Ajith Abraham, Aboul Ella Hassanien, André Carlos Ponce Leon Ferreira de Carvalho, editors, Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining. Volume 204 of Studies in Computational Intelligence, pages 325-353, Springer, 2009. [doi]

2008

2007

Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars ProblemDusan Húsek, Pavel Moravec, Václav Snásel, Alexander A. Frolov, Hana Rezanková, Pavel Polyakov. premi 2007: 235-243 [doi]

Image Analysis by Methods of Dimension ReductionPavel Moravec, Václav Snásel, Alexander A. Frolov, Dusan Húsek, Hana Rezanková, Pavel Polyakov. cisim 2007: 272-277 [doi]

Semantic Analysis of Web Pages Using Cluster Analysis and Nonnegative Matrix FactorizationVáclav Snásel, Hana Rezanková, Dusan Húsek, Milos Kudelka, Ondrej Lehecka. awic 2007: 328-336 [doi]

Pattern Discovery for High-Dimensional Binary DatasetsVáclav Snásel, Pavel Moravec, Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Pavel Polyakov. iconip 2008: 861-872 [doi]

Bars Problem Solving - New Neural Network Method and ComparisonVáclav Snásel, Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Pavel Moravec, Pavel Polyakov. micai 2007: 671-682 [doi]

2006

New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting PatternsAlexander A. Frolov, Dusan Húsek, Pavel Polyakov, Hana Rezanková. ijcnn 2006: 3486-3491 [doi]

2005

Neural network nonlinear factor analysis of high dimensional binary signalsDusan Húsek, Hana Rezanková, Václav Snásel, Alexander A. Frolov, Pavel Polyakov. sitis 2005: 86-89 [doi]

2003

Clustering of Documents Via Similarity MeasuresHana Rezanková, Dusan Húsek, Jan Smid, Václav Snásel. cic 2003: 292-299

2002

Application of Hopfield-like Neural Networks to Nonlinear FactorizationDusan Húsek, Alexander A. Frolov, Hana Rezanková, Václav Snásel. compstat 2002: 177-182 [doi]

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