The Power of Independent Component Analysis (ICA) on Real-World Applications — EGG Example

The Power of Independent Component Analysis (ICA) on Real-World Applications — EEG Example

Independent component analysis (ICA) is a powerful data-driven tool capable of separating linear contributions in the data

Introduction

Independent component analysis (ICA) is usually associated with dimensionality reduction tasks. However, the technique's most prominent application is separating linear contributions from the data, finding statistically independent components. For example, ICA is widely used as a tool to separate instrument tracks from …

analysis applications cancer data data-driven data science dimensionality eeg example independent independent-component institute linear neuroscience power tasks tool unsupervised learning world