Analysis of dimensionality Reduction Using Principal Component Analysis (PCA) and Two 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 these domains. Machine learning algorithms are used to uncover the hidden features of these data. The main curse of these data is that, it also generates huge volume of redundant data