Discussion of the Fisher's Discriminant Analysis Based on Choices of Principal Components and Factors
碩士 === 國立政治大學 === 應用數學研究所 === 95 === Principal component analysis or factor analysis are often used to reduce the dimensionality of the original variables. However, the principal component or factor, which has larger variance (i.e eigenvalue) explaining larger proportion of total sample variance, ma...
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| Format: | Others |
| Language: | en_US |
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2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/67454747400174701033 |