Pattern Recognition using Singular Value Decomposition (SVD)

EasyChair Preprint 4463

Abstract

This paper contains details about pattern recognition and singular value decomposition. We are explaining and analyzing the applications of singular value decomposition. It was found that the singular value decomposition is widely used in computer science fields like Machine learning and in transforming some curve. singular value decomposition is used in matrix factorization and recommendation systems.

Keyphrases: Matrix Factorization, Recommendation System, Singular Value Decomposition(SVD), pattern recognition

@booklet{EasyChair:4463,
  author    = {P Pankaj and Brijesh Kumar Markandey and Arun Kumar},
  title     = {Pattern Recognition using Singular Value Decomposition (SVD)},
  howpublished = {EasyChair Preprint 4463},
  year      = {EasyChair, 2020}}