Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy

Araceli Guzmán-Tristán, Antonio Rieser

We propose a pair of completely data-driven algorithms for unsupervised classification and dimension reduction, and we empirically study their performance on a number of data sets,…