Hana Rezanková

发表

Autonomous Robot Navigation Based on Clustering across Images

Tomas Vintr, Lukas Pastorek, Hana Rezanková, 2011, Eurobot Conference.

Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis

Hana Rezanková, Eduard Bartl, Lukas Sobisek, 2011, RSKT.

Clustering of Documents Via Similarity Measures

Jan Smid, Václav Snásel, Hana Rezanková, 2003, Communications in Computing.

Evaluation of Categorical Data Clustering

Hana Rezanková, Dusan Húsek, Tomas Loster, 2011, AWIC.

New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns

Hana Rezanková, Alexander A. Frolov, Dusan Húsek, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Comparison of Selected Methods for Document Clustering

Hana Rezanková, Dusan Húsek, Radim Sevcik, 2011, AWIC.

Dimensionality Reduction in Boolean Data: Comparison of Four BMF Methods

Radim Belohlávek, Hana Rezanková, Eduard Bartl, 2012, CHDD.

Image Analysis by Methods of Dimension Reduction

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

Pattern Discovery for High-Dimensional Binary Datasets

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, ICONIP.

Some Remarks on Binary Data Grouping

Václav Snásel, Hana Rezanková, Alexander A. Frolov, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Clustering variables by classical approaches and neural network Boolean factor analysis

Václav Snásel, Hana Rezanková, Alexander A. Frolov, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Batch FCM with volume prototypes for clustering high-dimensional datasets with large number of clusters

Lukas Pastorek, Hana Rezanková, Tomás Vintr, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Clusters Number Determination and Statistical Software Packages

Václav Snásel, Hana Rezanková, Dusan Húsek, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars Problem

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, PReMI.

Fuzzy clustering: Determining the number of clusters

Hana Rezanková, Dusan Húsek, 2012, 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN).

BFA and BMF: What is the difference

Ajith Abraham, Hana Rezanková, Alexander A. Frolov, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Forcoa.NET: An interactive tool for exploring the significance of authorship networks in DBLP data

Václav Snásel, Ajith Abraham, Hana Rezanková, 2011, 2011 International Conference on Computational Aspects of Social Networks (CASoN).

Bars Problem Solving - New Neural Network Method and Comparison

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, MICAI.

Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering

Hana Rezanková, Zdenek Sulc, H. Řezanková, 2019, J. Classif..

Neural network nonlinear factor analysis of high dimensional binary signals

Václav Snásel, Hana Rezanková, Alexander A. Frolov, 2005, SITIS.

Social Group Identification and Clustering

Hana Rezanková, Jiri Dvorský, Dusan Húsek, 2009, 2009 International Conference on Computational Aspects of Social Networks.

Semantic Analysis of Web Pages Using Cluster Analysis and Nonnegative Matrix Factorization

Václav Snásel, Hana Rezanková, Milos Kudelka, 2007, AWIC.

The BADAME project

Hana Rezanková, Luboš Marek, 2000 .

Web Data Clustering

Václav Snásel, Jaroslav Pokorný, Hana Rezanková, 2009, Foundations of Computational Intelligence.