Description: PCA (Principal Copmponent Analysis, abbreviated PCA) is a commonly used covariance matrix Opportunity information processing, compressing and extracting an effective manner. Principal component analysis, this method can effectively identify the data most " primary" elements and structures, removing noise and redundancy, the original complex data dimensionality reduction, to discover hidden behind the simple and complex data structures.
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