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Uniform Marker Field on a Cylinder
Kříž, Radim ; Havel, Jiří (referee) ; Herout, Adam (advisor)
This work presents a new extension for Uniform Marker Field, which is able to detect UMF on the cylinder. First part of the text deals with Augmented reality and focuses on systems using markers. It discusses the actual state-of-the-art systems and its possibilities. After that it focuses more deeply on the marker system Uniform marker field and its grayscale variants. Next part of the work describes properties of the cylinder projected in real space. Important properties for detecting are discussed in detail. Then the proposal and description of detection algorithm is presented. Implementation of algorithm is tested and evaluated on the very end of this thesis.
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Cluster analysis in mathematical software
Starý, Josef ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This bachelor thesis is focused on methods of cluster analysis in mathematical software. The goal is to describe basic methods of cluster analysis, to describe their implementation in mathematical software, to use the methods for clustering of prepared data and to compare the functionality of chosen software.
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Text mining focused on clustering and fuzzy clustering methods
Zubková, Kateřina ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This thesis is focused on cluster analysis in the field of text mining and its application to real data. The aim of the thesis is to find suitable categories (clusters) in the transcribed calls recorded in the contact center of Česká pojišťovna a.s. by transferring these textual documents into the vector space using basic text mining methods and the implemented clustering algorithms. From the formal point of view, the thesis contains a description of preprocessing and representation of textual data, a description of several common clustering methods, cluster validation, and the application itself.
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Biosignal processing - clusetr analysis
Příhodová, Petra ; Maděránková, Denisa (referee) ; Kolářová, Jana (advisor)
This thesis deals with the problem with cluster analysis and biosignal classification options. The principle of cluster analysis, methods for calculating distances between objects and the standard process in the implementation of clustering are described in the first part. For biosignals processing,it is necessary to get familiar with the primary parameters of these signals in the following sections of thesis, process biosignals and methods for recording of action potentials described. Based on studying different clustering methods is presented a program with the applied method kmedoid in the next section of this thesis. The steps of this program are described in detail and in the end of thesis functionality is tested on a database of signals ÚBMI.
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Numerical methods for classification of metagenomic data
Vaněčková, Tereza ; Sedlář, Karel (referee) ; Škutková, Helena (advisor)
This thesis deals with metagenomics and numerical methods for classification of metagenomic data. Review of alignment-free methods based on nucleotide word frequency is provided as they appear to be effective for processing of metagenomic sequence reads produced by next-generation sequencing technologies. To evaluate these methods, selected features based on k-mer analysis were tested on simulated dataset of metagenomic sequence reads. Then the data in original data space were enrolled for hierarchical clustering and PCA processed data were clustered by K-means algorithm. Analysis was performed for different lengths of nucleotide words and evaluated in terms of classification accuracy.
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Processing of electrochemical metallothionein signals from Brdicka reaction
Dvořáček, Jiří ; Hynek, David (referee) ; Valla, Martin (advisor)
This thesis deals with the Brdička electrochemical reactions and the possibilities of description and processing of metallothionein. The first part deals only marginally, an introduction to the subject, a separate occurrence of this reaction, the discovery of the properties and functions of metallothionein in the human body, describe the possibilities and applications of cluster analysis on the measured electrochemical signal of metallothionein Brdička reactions and detection of the selected peak. The second part is based on requests made program to evaluate response Brdiča working on the basis of two detection signals from within.
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Combinatorial optimization problems in waste management
Michalová, Jitka ; Šeda, Miloš (referee) ; Kůdela, Jakub (advisor)
This master’s thesis is focused on creation of an optimization model for the location allocation problem. The first part of the thesis is an introduction to optimization, which describes the most common methods for solving optimization problems and contains a list of approaches and methods most commonly used in waste management. The next part deals with the creation of a binary integer programming problem, its application to real data and a comparison of MATLAB and ILOG CPLEX solvers. Lastly, hierarchical and kmeans clustering are introduced, they are then applied to specific largescale problems.
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Application of cluster analysis to real data
Onderlička, Tomáš ; Popela, Pavel (referee) ; Žák, Libor (advisor)
This bachelor's thesis deals with finding similar scenarios in the waste management acquired by an optimization tool NERUDA. Cluster analysis, a tool that identifies related objects and classifies them in groups (clusters), is used for this purpose. The aim of this thesis is to review basic algorithms of cluster analysis and to develop a software that implements them. The software is then used to cluster real data from NERUDA which is followed by an assessment of the obtained clusters.
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Combinatorial optimization problems in waste management
Michalová, Jitka ; Šeda, Miloš (referee) ; Kůdela, Jakub (advisor)
This master’s thesis is focused on creation of an optimization model for the location allocation problem. The first part of the thesis is an introduction to optimization, which describes the most common methods for solving optimization problems and contains a list of approaches and methods most commonly used in waste management. The next part deals with the creation of a binary integer programming problem, its application to real data and a comparison of MATLAB and ILOG CPLEX solvers. Lastly, hierarchical and kmeans clustering are introduced, they are then applied to specific largescale problems.
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Cluster analysis in mathematical software
Starý, Josef ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This bachelor thesis is focused on methods of cluster analysis in mathematical software. The goal is to describe basic methods of cluster analysis, to describe their implementation in mathematical software, to use the methods for clustering of prepared data and to compare the functionality of chosen software.
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