Using PCA and random projections to compare preference of performance

International Journal of Multimedia and Ubiquitous Engineering

Volumn 7, Issue 2, 2012, Pages 469-472

  Jung, Yong Gyu ^a   Lim, Myung Jae ^a   Choi, Young Jin ^a  

^a Eulji University   (South Korea)

Author keywords

Data conversion; Principal component analysis (PCA); Random projections

Indexed keywords

BAYESIAN ALGORITHMS; DATA CONVERSION; PRINCIPAL COMPONENTS; RANDOM PROJECTIONS; SAMPLE DATA;

CLASSIFICATION (OF INFORMATION); PRINCIPAL COMPONENT ANALYSIS;

DATA HANDLING;

EID: 84865623935     PISSN: 19750080     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. G. Shmueli, N. R. Patel and P. Bruce, "Data Mining for Business Intelligence", (2009).
2. L. H. Witten and E. Frank, "Data.Mining. Practical Machine Learning Tools and Techniques", Third Edition, Morgan Kaufmann (2011).
3. R. A. Dunne, "A statistical approach to neural networks for pattern recognition", (2007).
4. E. Bingham and H. Mannila, "Random projection in dimensionality reduction: application to image and text data", Proceedings of the 7the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001), (2001).
5. Y.-G. Jung, S.-H. Lee and H. J. Sung, "Effective Diagnostic Method Of Breast Cancer Data Using Decision Tree", Journal of IWIT (2010), Vol. 10, No. 5, pp.57-62.
6. I. C. Kim and Y. G. Jung, "Using Baysian Network to analyze Medical Data", LNAI2734, Springer-Verlag (2003), pp. 317-327.
7. Y. G. Jung, K. Y. Lee and M. J. Lim, "Discharge Decision for Post-Operative Patients", Proceedings of ICHIT (2010), pp.195-199.