Dimensionality Reduction


A Feature Engineering method used to reduce the total number of Features considered by a Machine Learning Algorithm. Simple Dimensionality Reduction methods include Stemming and Stop Word elimination. More complex Dimensionality Reduction methods include Latent Semantic Indexing and Hashing. 1


  1. Maura R. Grossman and Gordon V. Cormack, EDRM page & The Grossman-Cormack Glossary of Technology-Assisted Review, with Foreword by John M. Facciola, U.S. Magistrate Judge2013 Fed. Cts. L. Rev. 7 (January 2013).