Numerical Methods for Determining Principal Component Analysis Abstract Factors
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چکیده
Two complementary methods for computing abstract factors are discussed. These two methods have a common theme of generating eigenvectors and abstract factors one at a time, thus allowing a specific number of abstract factors to be computed rather than being limited to computing all abstract factors for a given problem. Determination of only a limited number of abstract factors represents a significant reduction in the time required to separate signal from noise in a set of data vectors.
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