Question

Principle component analysis determines the direction of maximum variance of data for a given feature set.True or false

Answer 1

Answer:

→FALSE ✔️✔️✔️✔️✔️✔️✔️

Answer 2

Answer:

Th given statement is True

Explanation:

Principal component Analysis (PCA) deals with finding directions of maximum variance in high dimensional data. PCA ignores class labels. PCA projects the whole data set into difference feature sub space. These standardize the data.

This can extract structure either from variance or co-variance data. This is the widely covered method found in the internet. This is basically a mathematical procedure. It converts large set of values into small set.

Uncorrelated variables are termed as Principal components.