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Okrajový jev v mnohorozměrných datech
Jiřina, Marcel ; Jiřina jr., M.
In this paper we show some strange features of multidimensional data and their influence on classification. We introduce the probability distribution mapping function, and the distribution density mapping function which maps probability density distribution of points in n-dimensional space to a similar distribution in one-dimensional space of distances. The power approximation of the probability distribution mapping function is introduced and an application for a probability density estimation including the boundary effect in high dimensions is shown. Some results obtained with the new method for classification are shown.
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Classification of electronic documents using cluster analysis
Ševčík, Radim ; Řezanková, Hana (advisor) ; Svátek, Vojtěch (referee)
The current age is characterised by unprecedented information growth, whether it is by amount or complexity. Most of it is available in digital form so we can analyze it using cluster analysis. We have tried to classify the documents from 20 Newsgroups collection in terms of their content only. The aim was to asses available clustering methods in a variety of applications. After the transformation into binary vector representation we performed several experiments and measured the values of entropy, purity and time of execution in application CLUTO. For a small number of clusters the best results offered the direct method (generally hierarchical method), but for more it was the repeated bisection (divisive). Agglomerative method proved not to be suitable. Using simulation we estimated the optimal number of clusters to be 10. For this solution we described in detail features of each cluster using repeated bisection method and i2 criterion function. In the future focus should be set on realisation of binary clustering with advantage of programming languages like Perl or C++. Results of this work might be of interest to web search engine developers and electronic catalogue administrators.
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Mezipodnikové srovnávání
Křižková, Jana ; Vávrová, Hana (advisor) ; Tyll, Ladislav (referee)
Práce se zabývá mezipodnikovým srovnáváním deseti textilek v České republice za časové období 2006-2008. Jsou aplikovány jedno a vícerozměrné metody mezipodnikového srovnávání a určeno pořadí společností dle každé z nich. Dále jsou podniky rožčleněny do skupin s využitím klasifikační analýzy a na závěr jsou data graficky znázorněna ve spidergramu. Diskutovány jsou výhody a nevýhody jednotlivých metod.
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Public guardian of the rights in European Union, Czech Republic and Slovak Republic
Osadská, Katarína ; Chvátalová, Iva (advisor) ; Spirit, Michal (referee)
The diploma thesis focuses on institution of ombudsman in European Union, Czech Republic and Slovak Republic. It is aimed at questions of legal regulations of this institution in the mentioned formations. Particular chapters of this thesis are structured into following 5 task parts. The first chapter describes the history of the origin of this institution, explains the term of ombudsman by using definitions, classifies existing kinds of institutes of ombudsman and specifies the field of action. The second chapter identifies the European ombudsman. It is focused especially on analysis of received complaints in practically whole period of existence this institution and evaluation of activities in 2008. In the third chapter is described the institution of ombudsman in the Czech Republic and in the fourth chapter in the Slovak Republic. The last chapter of the diploma thesis deals with comaparison of ombudsman institutions in these two countries.
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Applications of the fingerprint sensing in IT
Rakár, Peter ; Balada, Jakub (advisor) ; Kulovaný, Martin (referee)
The biometrics is a branch with long history. With the arrival of information technologies biometrics also penetrates onto the field of the computer science. Even if there have been specialists concerned with application of biometrics in informatics for decades, state of the biometric technologies does not provide hundred percent reliability. Biometrics in IT is still evolving and with improving technologies from other spheres of the human activity new challenges also arise in biometrics. Biometry of fingerprint is the most common and the most used biometry in practice. The aim of this work is to bring the problem of fingerprints sensing and recognition closer to the reader. Work describes individual characteristics of fingerprints as well as common aspects of all other biometrics. Next concern of the work is the application of fingerprints biometry in practice. It is closer concerned with the most common methods and approaches which are used in implementation of fingerprints sensing, analyzes, recognition and classification in biometric system. The goal of the work is not to create an exact guideline for fingerprints implementation but to make the reader acquainted with possibilities, advantages and weakness of the biometry of fingerprints in context of IT.
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