Title page for etd-0602113-115756


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URN etd-0602113-115756
Author Wei-Yi Liu
Author's Email Address No Public.
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Department Applied Mathematics
Year 2012
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Comparison of Classification Effects between Principal Component and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle
Date of Defense 2013-06-17
Page Count 39
Keyword
  • gray-scale value
  • local search procedure
  • multilinear principal component analysis
  • regularized discriminant analysis
  • factor score
  • Abstract In this work, we study heart diseases related to diastolic and systolic of heart in left ventricle. Following Chen(2012) and Yang(2012), the differences between the gray-scale values of diastolic and systolic in left ventricle are uesd to evaluate the function of heart.
    As the ultrasound image data for each subject is expressed as a highdimensional matrix, the usual principal component analysis and the multilinear principal component analysis by Hung et al(2012) are used for dimension reduction and the corresponding loadings in each factor component are compared to see the major areas in the image with larger differences. Later the factor scores for the subject are used to carry out the regularized discriminant analysis given in Friedman(1989). The Local Search Procedure to select the appropriate variables similar as in Pacheco et al.(2006) is also used. According to the above analysis methods, we have identified important areas in the heart for classification between normal and abnormal groups. The procedure has been applied to the heart ultrasound images and seems to have good performances in classification.
    Advisory Committee
  • Mei-Hui Guo - chair
  • Chung Chang - co-chair
  • Fu-Chuen Chang - co-chair
  • Mong-Na Lo Huang - advisor
  • Kai-Sheng Hsieh - advisor
  • Files
  • etd-0602113-115756.pdf
  • Indicate in-campus at 99 year and off-campus access at 99 year.
    Date of Submission 2013-07-10

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