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Dimensionality reduction of statistical dataset
 Sabo, Adam ; Kosová, Petra (referee) ; Hrabec, Pavel (advisor)
This thesis introduces methods which are used to reduce dimensionality and their subsequent application to selected sets of sports statistical data. The first part of the thesis deals with the theoretical apparatus of mathematical statistics, in particular with the Principal Component Analysis and its alternative - the Factor Analysis. The second part provides a brief explanation of the terms related to the selected sets of football statistics where these methods are applied. The third part introduces the results of the application of both methods to statistical files. Data obtained through calculations performed in Python programming language are organized and interpreted by means of graphs and tables.
Detailed record
Dimensionality reduction of statistical dataset
 Sabo, Adam ; Kosová, Petra (referee) ; Hrabec, Pavel (advisor)
This thesis introduces methods which are used to reduce dimensionality and their subsequent application to selected sets of sports statistical data. The first part of the thesis deals with the theoretical apparatus of mathematical statistics, in particular with the Principal Component Analysis and its alternative - the Factor Analysis. The second part provides a brief explanation of the terms related to the selected sets of football statistics where these methods are applied. The third part introduces the results of the application of both methods to statistical files. Data obtained through calculations performed in Python programming language are organized and interpreted by means of graphs and tables.
Detailed record

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2 Šabo, Andrej
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