Howtosignalprocessing
Is ICA the same as PCA?
PCA vs ICA
Although the two approaches may seem related, they perform different tasks. 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.
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 ICA in problem solving?
Independent Component Analysis (ICA) is a technique that allows the separation of a mixture of signals into their different sources, by assuming non Gaussian signal distribution (Yao et al., 2012).
