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Principal Component Analysis
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This method was introduced by Karl Pearson. It works on a condition that while the data in a higher dimensional space is mapped to data in a lower dimension space, the variance of the data in the lower dimensional space should be maximum.

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It involves the following steps:

  • Construct the …

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