Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension

Shuang Ni, Adrien Aumon, Guy Wolf +2

The value of supervised dimensionality reduction lies in its ability to uncover meaningful connections between data features and labels. Common dimensionality reduction methods emb…