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	Determination of the Optimal Number of Clusters in Statistical Software Systems Řezanková, H. ; Húsek, Dušan The paper deals with approaches to determination of the optimal number of groups of objects which are implemented in clustering algorithms in commercial statistical software packages. Some of these approaches are applied to the example of finding groups of deputies of the Russian parliament on the base of roll-call votes in 2004. The capabilities of software packages S-PLUS, SAS, SPSS, and SYSTAT are described. Detailed record
	Clustering and Nonnegative Matrix Factorization: Tools for Web Pages Semantic Analysis Snášel, Václav ; Řezanková, H. ; Húsek, Dušan ; Kudělka, M. ; Lehečka, O. Detailed record
	Web Patterns Oriented Semantics of Web Pages Kudělka, M. ; Snášel, Václav ; Húsek, Dušan ; El-Qawasmeth, E. ; Pokorný, J. Detailed record
	Neural Network Nonlinear Factor Analysis of the Reuters Collection Húsek, Dušan ; Snášel, Václav ; Řezanková, H. ; Frolov, A. A. ; Polyakov, P.Y. Detailed record
	Metody pro stanovení počtu shluků ve statistických programových systémech Řezanková, H. ; Húsek, Dušan The paper deals with approaches to determination of the optimal number of groups of objects when objects are clustered by different methods implemented in commercial statistical software packages. These approaches are applied to the example of finding groups of deputies of the Russian parliament on the base of roll-call votes in 2004. The capabilities of software packages S-PLUS, SAS, SPSS, and SYSTAT are compared. Detailed record
	Vybrané rozšířené příspěvky z mezinárodní konference DCCA 2007 (Digitální Komunikace a Počítačové Aplikace) - speciální číslo časopisu NNW Húsek, Dušan ; Snášel, V. ; El-Qawasmeth, E. Editors present extended versions of selected papers from DCCA 2007 conference. This conference has been a forum for scientists and engineers to meet and to present their latest research results, ideas, and papers in the diverse areas of Digital Communications, Computer Science, and Information Technology. The selected papers are mainly from the area of artificial intelligence and applications, including biologically motivated methods. (Neural Network World 17, 4 (2007) 269-413.) Detailed record
	Vybrané rozšířené příspěvky z mezinárodní konference CSIT 2006 (Počítačové vědy a informační technologie) - speciální číslo časopisu NNW Húsek, Dušan ; Snášel, V. ; El-Qawasmeth, E. Editors present extended versions of the best papers from the 4th International Multiconference on Computer Science and Information Technology 2006 (CSIT 2006 ) in special issue of NNW journal. Selected were the most influential papers on artificial intelligence and knowledge engineering, including biologically motivated methods.(Neural Network World 16, 4 (2006) 275-368.) Detailed record
	Metody identifikace počtu shluků a odlehlých hodnot implementované v profesionálních statistických programových systémech Řezanková, H. ; Húsek, Dušan The paper deals with possibilities how to determine the optimal number of groups of objects and find outlying objects when objects are clustered by different methods implemented in commercial statistical software packages. In the example, the aim is finding groups of similar binary variables. The methods as cluster analyses (hierarchical, k-medoids, fuzzy, two-step), multidimensional scaling, factor analysis and Boolean factor analysis are used. Detailed record
	Slučování dat a evoluční optimalizace dotazu pro sofistikované vyhledávání Húsek, Dušan ; Keyhanipour, A. ; Krömer, P. ; Moshiri, B. ; Owais, S. ; Snášel, V. An innovative meta-search engine named WebFusion has been presented. The search system learns the expertness of every particular underlying search engine in a certain category based on the users' preferences according to an analysis of click-through behavior. In addition, an intelligent reranking method based on ordered weighted averaging (OWA) was introduced. The re-ranking method was used to fuse the results' scores of the underlying search engines. Independently, a progressive application of evolutionary computing to optimize Boolean search queries in crisp and fuzzy information retrieval systems was investigated, evaluated in laboratory environment and presented. In this paper we describe proposed incorporation of these two innovative recent methods founding an advanced Internet search application. Detailed record
	Boolean Factor Analysis by Hopfield-Like Autoassociative Memory: Factors Search Frolov, A. A. ; Húsek, Dušan ; Muraviev, I. P. ; Polyakov, P.Y. Fulltext: content.csg - PDF Plný tet: v962-06 - PDF Detailed record

See also: similar author names
1	HUŠEK, David
3	Husek, Daniel

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