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The most popularly used dimensionality reduction algorithm is Principal Component Analysis...

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Machine Learning
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The most popularly used dimensionality reduction algorithm is Principal Component Analysis (PCA). Which of the following is/are true about PCA?
1. PCA is an unsupervised method
2. It searches for the directions that data have the largest variance
3. Maximum number of principal components <= number of features
4. All principal components are orthogonal to each other

Answer & Solution
Correct Answer: Option D
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