Senior Thesis

Kristen Bretney

Senior Thesis

Kristen Bretney

Research output: Thesis › Honors Thesis

Abstract

The singular value decomposition is a factorization of a rectangular matrix that reveals the essential structure of that .matrix. The singular value decomposition is a valuable tool that has applications in many fields including weather prediction, signal processing, data compression, and pattern recognition. This project applied the singular value decomposition to Los Angeles exit poll results from the November 2008 election to discover Angelinos general political views, structural voting patterns, and other latent information.

Original language	English
Awarding Institution	Loyola Marymount University
Supervisors/Advisors	Bennett, Curtis, Advisor
State	Published - May 8 2010
Externally published	Yes

Access to Document

http://digitalcommons.lmu.edu/honors-thesis/279

Cite this

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title = "Senior Thesis",

abstract = "The singular value decomposition is a factorization of a rectangular matrix that reveals the essential structure of that .matrix. The singular value decomposition is a valuable tool that has applications in many fields including weather prediction, signal processing, data compression, and pattern recognition. This project applied the singular value decomposition to Los Angeles exit poll results from the November 2008 election to discover Angelinos general political views, structural voting patterns, and other latent information.",

author = "Kristen Bretney",

year = "2010",

month = may,

day = "8",

language = "English",

type = "Honors Thesis",

school = "Loyola Marymount University",

}

TY - THES

T1 - Senior Thesis

AU - Bretney, Kristen

PY - 2010/5/8

Y1 - 2010/5/8

N2 - The singular value decomposition is a factorization of a rectangular matrix that reveals the essential structure of that .matrix. The singular value decomposition is a valuable tool that has applications in many fields including weather prediction, signal processing, data compression, and pattern recognition. This project applied the singular value decomposition to Los Angeles exit poll results from the November 2008 election to discover Angelinos general political views, structural voting patterns, and other latent information.

AB - The singular value decomposition is a factorization of a rectangular matrix that reveals the essential structure of that .matrix. The singular value decomposition is a valuable tool that has applications in many fields including weather prediction, signal processing, data compression, and pattern recognition. This project applied the singular value decomposition to Los Angeles exit poll results from the November 2008 election to discover Angelinos general political views, structural voting patterns, and other latent information.

M3 - Honors Thesis

ER -