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eighencomponents

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KSSRINIVASARAO / PCA

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The principal components of a collection of points in a real p-space are a sequence of direction vectors, where the vector is the direction of a line that best fits the data while being orthogonal to the first vectors.As in PCA (Principal Component Analysis) Sharing you about how correlation and covariance helps to decide and usage of PCA

correlation covariance eighencomponents
  • Updated Oct 12, 2020
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