Comparative study of PCA and ICA in the field of Data Reduction

Abstract

 This paper presents the results of a comparative study of Pca and Ica in the field of data reduction. In particular, we compare the two feature extraction techniques- independent component analysis (ICA) and Principal component analysis (PCA) to project microarray data into statistically independent components and genes are clustered according to their mean distances from the calculated centroid. We test the statistical significance of enrichment of gene annotations within clusters. Result shows PCA outperforms ICA in constructing functionally coherent clusters on microarray Breast Cancer Wisconsin, Primary Tumours,, Parkinson’s tele monitoring and ecoli data and hepatitis data set.

Authors and Affiliations

Vidya Mohanty*1

Keywords

Related Articles

 Clock Power Reduction Using Merged Flip Flops Technique

 The main constraint in any VLSI chip design are reducing power consumption and area and increasing speed. In this project my aim is to obtain reduced clock power by replacing single bit flip flops into multi bit f...

TWO-DIMENSIONAL DIFFERENCE-HISTOGRAM MODIFICATION BASED ON REVERSIBLE DATA HIDING

Both information hiding and compression are very essential technologies in the field of image processing. It seems that there is no relationship between information hiding and compression mechanisms emphasize the compre...

 CONTEMPORARY MATHEMATICAL TOOLS OF FORECASTING: OVERVIEW OF METROPOLIS HASTINGS ALGORITHMS

 This paper used the Metropolis Hastings Markov Chain Monte Carlo algorithms to forecast and monitor the dynamics of HIV/AIDS prevalence rates in Ghana. The study sampled four sites in Upper East Region and explore...

 Cloud based Mobile Streaming with Qos Approach

 Mobile streaming using cloud causes the problems of delay whereas downloading or streaming the transmission file from cloud area. The most conception of this paper is to investigate the sudden interruption of user...

 Heart Disease Diagnosis System Based On Data Mining And Neural Network

 Data mining techniques have been commonly in the clinical decision support system for prediction and diagnosis of various diseases with good accuracy. One of the most important applications of such system is in d...

Download PDF file
  • EP ID EP111646
  • DOI -
  • Views 63
  • Downloads 0

How To Cite

Vidya Mohanty*1 (30).  Comparative study of PCA and ICA in the field of Data Reduction. International Journal of Engineering Sciences & Research Technology, 3(4), 2041-2048. https://europub.co.uk/articles/-A-111646