Simplex Decompositions using SVD and PLSA

Abstract

Probabilistic Latent Semantic Analysis (PLSA) is a popular technique to analyze non-negative data where multinomial distributions underlying every data vector are expressed as linear combinations of a set of basis distributions. These learned basis distributions that characterize the dataset lie on the standard simplex and themselves represent corners of a… (More)

Topics

4 Figures and Tables

Slides referencing similar topics