2022
Dimension reduction for high-dimensional small counts with KL divergence
UAI 2022poster
Dimension reduction for high-dimensional count data with a large proportion of zeros is an important task in various applications. As a large number of dimension reduction methods rely on the proximity measure, we develop a dissimilarity measure that is well-suited for small counts based on the Kull…