EFFECTIVENESS OF PCA IN CLASSIFICATION PROBLEMS

This paper is designed to make the study of effectiveness of PCA (Principal Component Analysis) method effectiveness in classification specially for the classification of face and computer virus. This technique is generally used for problems where eigenvector analysis is required. In order to analyze the varying trend in computer virology, the study of algorithms from different flavour and from various domains is required to make the vision clear towards viral detection.