Search Results - "Rezankova, H."

Variability of the fatty acids of the marine green algae belonging to the genus Codium by Dembitsky, V.M., Řezanková, H., Řezanka, T., Hanuš, L.O.

“…Analysis of fatty acids by gas chromatography-mass spectrometry (GC-MS) using serially coupled capillary columns with different polarity of stationary phases…”
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Clustering variables by classical approaches and neural network Boolean factor analysis by Frolov, A., Husek, D., Rezankova, H., Snasel, V., Polyakov, P.

“…In this paper, we compare three methods for grouping of binary variables: neural network Boolean factor analysis, hierarchical clustering, and a linear factor…”
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Diversity of the fatty acids of the Nostoc species and their statistical analysis by Temina, Marina, Rezankova, Hana, Rezanka, Tomas, Dembitsky, Valery M.

“…Low molecular, hydroxy, dioic, saturated and unsaturated fatty acids were determined of six cyanobacterial species belonging to genus Nostoc and in different…”
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Characterization of fatty acids and triacylglycerols in vegetable oils by gas chromatography and statistical analysis by REZANKA, T, REZANKOVA, H

“…Fatty acids and triacylglycerols from Argania tree seeds (argania oil) were identified. Common fatty acids and triacylglycerols were quantified using gas…”
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Clusters Number Determination and Statistical Software Packages by Rezankova, H., Husek, D., Snasel, V.

“…The paper deals with approaches to determination of the optimal number of groups of objects and finding outlying objects when objects are clustered by…”
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Some Remarks on Binary Data Grouping by Husek, D., Frolov, A.A., Rezankova, H., Snasel, V., Polyakov, P.Y.

“…The methods for variables selections which allows for optimal representation of objects group in the data are studied. Neural network based Boolean factor…”
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Fuzzy clustering: Determining the number of clusters by Rezankova, H., Husek, D.

“…In this study we analyze behavior of two types of coefficients for determining the suitable number of clusters obtained when fuzzy cluster analysis is applied…”
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Forcoa.NET: An interactive tool for exploring the significance of authorship networks in DBLP data by Horak, Z., Kudelka, M., Snasel, V., Abraham, A., Rezankova, H.

“…This paper presents an online analysis tool called Forcoa.NET, which is built over the DBLP dataset of publications from the field of computer science. The…”
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Batch FCM with volume prototypes for clustering high-dimensional datasets with large number of clusters by Vintr, T., Pastorek, L., Vintrova, V., Rezankova, H.

“…In this paper we present Batch Fuzzy c-Mean with Volume Prototypes algorithm suitable to cluster large high-dimensional datasets with large chosen number of…”
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BFA and BMF: What is the difference by Frolov, A. A., Abraham, A., Polyakov, P. Y., Husek, D., Rezankova, H.

“…Studied are differences of two approaches to binary data dimension reduction. The first one is Boolean Matrix Factorization and the second one is Expectation…”
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Opening remarks

“…Presents the opening remarks from this conference…”
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Social Group Identification and Clustering by Husek, D., Rezankova, H., Dvorsky, J.

“…Some methods for object group identification applicable for social group identification are compared. We suppose that people are characterized by their…”
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Cluster, SOM and NMF Analyses of Web Patterns by Rezankova, H., Husek, D., Snasel, V., Kudelka, M., Lehecka, O.

“…This paper focuses on web pages clustering as a tool for typical Web patterns searching and using. Traditional methods of cluster analysis, self-organizing map…”
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New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns by Frolov, A.A., Husek, D., Polyakov, P., Rezankova, H.

“…The sparse encoded Hopfield like neural network is modified to provide the Boolean factor analysis. New, more efficient method of sequential factor extraction,…”
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Image Analysis by Methods of Dimension Reduction by Moravec, P., Snasel, V., Frolov, A., Husek, D., Rezankova, H., Polyakov, P.

“…In this paper, we compare performance of several dimension reduction techniques, namely LSI, NMF, SDD, Boolean factor analysis, and cluster analysis. The…”
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