National Repository of Grey Literature 6 records found  Search took 0.01 seconds. 
Methods for Clustering Data
Pohlídal, Antonín ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This bachelor's thesis deals with hierarchical clustering methods with a focus on implementation of agglomerative hierarchical clustering method and its comparison with the DENCLUE method. First of all, various methods are described with emphasis on hierarchical clustering methods. Further, there is an implementation of the selected method, using the Java programming language and MySQL database. The last part contains a comparison with the implementation of DENCLUE method, implemented by Mr. Bc. Radim Kapavík.
Knowledge Discovery from Data - Clustering Algorithms
Kapavík, Radim ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This work deals with the theme of cluster analysis, focusing on problems of determining necessary parameters of these methods. Most of the work is dedicated to describing implementation of DENCLUE method based on density and proposing appropriate way to set up it´s key parameter, known as sigma, automatically.
Cluster Analysis Module of a Data Mining System
Hlosta, Martin ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with the design and implementation of a cluster analysis module for currently developing datamining system DataMiner on FIT BUT. So far, the system lacked cluster analysis module. The main objective of the thesis was therefore to extend the system of such a module. Together with me, Pavel Riedl worked on the module. We have created a common part for all the algorithms so that the system can be easily extended to other clustering algorithms. In the second part, I extended the clustering module by adding three density based clustering aglorithms - DBSCAN, OPTICS and DENCLUE. Algorithms have been implemented and appropriate sample data was chosen to verify theirs functionality.
Knowledge Discovery from Data - Clustering Algorithms
Kapavík, Radim ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This work deals with the theme of cluster analysis, focusing on problems of determining necessary parameters of these methods. Most of the work is dedicated to describing implementation of DENCLUE method based on density and proposing appropriate way to set up it´s key parameter, known as sigma, automatically.
Methods for Clustering Data
Pohlídal, Antonín ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This bachelor's thesis deals with hierarchical clustering methods with a focus on implementation of agglomerative hierarchical clustering method and its comparison with the DENCLUE method. First of all, various methods are described with emphasis on hierarchical clustering methods. Further, there is an implementation of the selected method, using the Java programming language and MySQL database. The last part contains a comparison with the implementation of DENCLUE method, implemented by Mr. Bc. Radim Kapavík.
Cluster Analysis Module of a Data Mining System
Hlosta, Martin ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with the design and implementation of a cluster analysis module for currently developing datamining system DataMiner on FIT BUT. So far, the system lacked cluster analysis module. The main objective of the thesis was therefore to extend the system of such a module. Together with me, Pavel Riedl worked on the module. We have created a common part for all the algorithms so that the system can be easily extended to other clustering algorithms. In the second part, I extended the clustering module by adding three density based clustering aglorithms - DBSCAN, OPTICS and DENCLUE. Algorithms have been implemented and appropriate sample data was chosen to verify theirs functionality.

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