COMPREHENSIVE EVALUATION AND INTERPRETATION OF PCA ON MULTIPLE DATASETS
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Abstract
Principal component analysis is a statistical based technique that reduces the data size and preserves most of the variance in the form of new variables called principal components. In this paper, MATLAB is used to evaluate and analyze PCA on multiple datasets collected from multiple data sources. PCA reduces the size of the datasets by at least 68% without any loss of significant information and the effectiveness of reduced datasets is increased.
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