![Independent Component Analysis thumbnail](https://apiminio.videolectures.net/vln/lectures/1346/1/en/thumbnail.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=masoud%2F20241217%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20241217T093727Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=130f9822baddf2606db9acf1a88c1049f041d27808a14e9d89360bc02b9413e5)
Independent Component Analysis
Published on Feb 25, 200773297 Views
In independent component analysis (ICA), the purpose is to linearly decompose a multidimensional data vector into components that are as statistically independent as possible. For nongaussian random v