diplomsko delo
Barbara Dobravc (Author), Dominik Benkovič (Mentor)

Abstract

V diplomskem delu je predstavljena multivariantna statistična metoda, imenovana analiza glavnih komponent. V začetnem delu so zajeti osnovni pojmi linearne algebre. Nato so predstavljeni osnovni pojmi statistike, ki so potrebni pri vpeljavi analize glavnih komponent. Ob tem so podane predstavitve večrazsežnih podatkov. V osrednjem delu je predstavljena sama analiza glavnih komponent, ki je ena izmed pomembnejših multivariantnih statističnih metod. Teoretični del je podkrepljen s primeri in dodani so tudi grafični prikazi.

Keywords

matematika;analiza;glavne komponente;kovariančna matrika;diplomska dela;

Data

Language: Slovenian
Year of publishing:
Source: Maribor
Typology: 2.11 - Undergraduate Thesis
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
Publisher: [B. Dobravc]
UDC: 51(043.2)
COBISS: 18383112 Link will open in a new window
Views: 3488
Downloads: 500
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Other data

Secondary language: English
Secondary title: PRINCIPAL COMPONENT ANALYSIS
Secondary abstract: In this thesis the multivariant statistic method called principal component analysis is presented. Basic terms of linear algebra are presented in the first part. Afterwards, we present basic statistical notions that are required in order to introduce principal component analysis. We also give presentations of various data. Principal component analysis, which is one of the most important multivariant statistic method, is presented in the central part of the thesis. Teoretical part is supported with examples and graphical demonstrations.
Secondary keywords: principal components analysis;principal component;covariance matrix;
URN: URN:SI:UM:
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Mariboru, Fak. za naravoslovje in matematiko, Oddelek za matematiko in računalništvo
Pages: 49 f.
Keywords (UDC): mathematics;natural sciences;naravoslovne vede;matematika;mathematics;matematika;
ID: 1014508
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