Sparse Principal Component Analysis is a type of PCA analysis method. SparsePCA extracts sparse components to build the data.
The Scikit-learn API provides SparsePCA class to apply Sparse PCA method in Python. In this tutorial, we'll briefly learn how to project data by using SparsePCA and visualize the projected data in Python. The tutorials covers:
- Iris dataset SparsePCA projection and visualizing
- MNIST dataset SparsePCA projection and visualizing
- Source code listing