Compression of Breast Cancer Images By Principal Component Analysis
1. Compression of Breast Cancer Images By Principal Component Analysis

Monika Saraswat; A. K. Wadhwani; Manish Dubey

Volume 1, Issue 7 , Summer 2013, , Pages 767-776

Abstract
  The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors ...  Read More