Abstract :
The Bayes methods are popular in classification because they are optimal. To apply Bayes methods, it is required that prior probabilities and distribution of patterns for class should be known. The pattern is assigned to highest posterior probability class. The three main methods under Bayes classifier are Byes theorem, the Naive Bayes classifier and Bayesian belief networks. Harshad M. Kubade "The Overview of Bayes Classification Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd15750.pdf Paper URL: http://www.ijtsrd.com/computer-science/data-miining/15750/the-overview-of-bayes-classification-methods/harshad-m-kubade
Keyword :
Bayes theorem, Bayesian belief networks, Naive Bayes classifier, prior probability, posterior probability