Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions

Michaël Fanuel, Antoine Aspeel, Jean-Charles Delvenne +1

In machine learning or statistics, it is often desirable to reduce the dimensionality of a sample of data points in a high dimensional space ${\mathbb{R}}^d$. This paper introduces a…