Sklearn ica example

1. How do you perform ICA?
2. What is the difference between PCA and ICA?
3. What is ICA algorithm?

How do you perform ICA?

To perform ICA, we can use fastICA R package. We have to install fastICA package in R or R studio. A data matrix with n rows representing observations and p columns representing variables. Number of components to be extracted.

What is the difference between PCA and ICA?

PCA vs ICA

Specifically, PCA is often used to compress information i.e. dimensionality reduction. While ICA aims to separate information by transforming the input space into a maximally independent basis.

What is ICA algorithm?

In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that at most one subcomponent is Gaussian and that the subcomponents are statistically independent from each other.