Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 33, Pages: 1-4
C. Dharuman1* and P. Venkatesan2
Markov Chain Monte Carlo (MCMC) methods have been successfully used to overcome problems involving high dimensional diabetic spectral data. The objective is to show that the onset of a disease changes the relative content of the Bio-Molecules. The problem is formulated and solved in Bayesian frame work by using MCMC algorithm. The efficiency of the models are discussed, evaluated and compared.
Keywords: Bayesian, Diabetic Spectral Data, Markov Chain Monte Carlo, Pattern Analysis
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