Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
number of components. (B) For PCA to produce a reliable result, large enough sample sizes are required. (C ) There should be no significant outliers. (D) All of the above. Question 7: What are the Limitations of PCA? (A) PCA doesn’t work well for non-linearly correlated data. (B) PCA always finds