Questions and Answers
What is the main purpose of dimensionality reduction?
To avoid the curse of dimensionality
What does Principal Component Analysis (PCA) do?
Transforms high-dimensional data into lower dimensions while retaining information
What does PCA aim to capture in data?
The largest amount of variation
What happens to the original data in PCA?
Signup and view all the answers
What does dimensionality reduction allow in data mining?
Signup and view all the answers
