Analysis of dimensionality Reduction Using Singular Value Decomposition (SVD) andTwo Dimensional Haar Wavelets

Abstract

Due to advances of digital technology in all sectors ranging from healthcare, production, web organization a huge data had been generated through this domains. Machine learning algorithms are used to uncover the hidden features of these data. The main curse of these datais that, it also generate huge volume of redundant data. So we need a data reduction techniqueto reduce the data and analyze the key features hidden in the data