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DKUM
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Title:
ANALIZA GLAVNIH KOMPONENT
Authors:
ID
Dobravc, Barbara
(
Author
)
ID
Benkovič, Dominik
(
Mentor
)
More about this mentor...
Files:
UNI_Dobravc_Barbara_i2011.pdf
(1,22 MB)
MD5: B93E8364F30DEED4687B3132C9B0A9D8
PID:
20.500.12556/dkum/2b6b5bff-09be-45cc-8b27-92431d8fac77
Language:
Slovenian
Work type:
Undergraduate thesis
Organization:
FNM - Faculty of Natural Sciences and Mathematics
Abstract:
V diplomskem delu je predstavljena multivariantna statistična metoda imeno- vana 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. Poleg tega so podane tudi 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 gra fični prikazi.
Keywords:
analiza glavnih komponent
,
glavna komponenta
,
kovariančna matrika
Place of publishing:
Maribor
Publisher:
[B. Dobravc]
Year of publishing:
2011
PID:
20.500.12556/DKUM-18682
UDC:
51(043.2)
COBISS.SI-ID:
18383112
NUK URN:
URN:SI:UM:DK:2VLRRLBC
Publication date in DKUM:
28.06.2011
Views:
4574
Downloads:
588
Metadata:
Categories:
FNM
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Secondary language
Language:
English
Title:
PRINCIPAL COMPONENT ANALYSIS
Abstract:
In this thesis the multivariant statistic method called principal component analy- sis is presented. Basic terms of linear algebra are presented in the rst part. After- wards, we present basic statistical notions that are required in order to introduce principal component analysis. We also give presentations of various data. Princi- pal 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.
Keywords:
principal components analysis
,
principal component
,
covariance matrix
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