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Principal Component Analysis is mainly used for: A . Classification B . Dimensionality reduction C . Incrementing dataset size D . Correlation analysis

Principal Component Analysis is mainly used for:

.

Classification

.

Dimensionality reduction

.

Incrementing dataset size

.

Correlation analysis

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