Linear Dimensionality Reduction: Which is better ?
Project links
About this project
Principal Component Analysis is one of the mathematical tools which is used widely to project high dimensional data into lower dimensional data. There is no validated choice of selecting the number of principle components to represent the original data.
Skills
More projects by Mohit Baliyan