Question

What is P.C.A where is in used
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Answer 1

Answer:

Explanation:In simple words, principal component analysis is a method of extracting important variables (in form of components) from a large set of variables available in a data set. ... PCA is more useful when dealing with 3 or higher dimensional data. It is always performed on a symmetric correlation or covariance matrix.

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Answer 2

Answer:

P.A.C is predominantly used as dimensionality reduction technique in domains facial recognition, computer vision and image composition.

it is also used for finding patterns in data of high mining bioinformatics, psychology etc.

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