2 papers
stat.ML2024
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,…
cs.CG2024
Noncommutative Model Selection and the Data-Driven Estimation of Real Cohomology Groups
Araceli Guzmán-Tristán, Antonio Rieser, Eduardo Velázquez-Richards
We propose three completely data-driven methods for estimating the real cohomology groups of a compact metric-measure space embedded in a me…