Hands-On Machine Learning with C++

Understanding dimension reduction algorithms with various С++ libraries

Let's look at how to use dimensionality reduction algorithms in practice. All of these examples use the same dataset, which contains four normally distributed 2D point sets that have been transformed with Swiss roll mapping, , into a 3D space. The following graph shows the result of this mapping. You can find the original dataset and mapping details at http://people.cs.uchicago.edu/~dinoj/manifold/swissroll.html:

This dataset is labeled. Each of the normally distributed ...