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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? PCA is an unsupervised method - It searches for the directions that data have the largest variance - Maximum number of principal components

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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? PCA is an unsupervised method - It searches for the directions that data have the largest variance - Maximum number of principal components <= number of features,l principal components are orthogonal to each other"






 
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