পদ্ধতির তুলনা করুন

	বেয়েশীয় বৈষম্যমূলক বিশ্লেষণ (Bayesian Discriminant Analysis)	ডিস্ক্রিমিন্যান্ট অ্যানালাইসিস (Discriminant Analysis)
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1964	1936
প্রবর্তক	Seymour Geisser	Ronald A. Fisher
ধরন	Supervised classification / Bayesian inference	Supervised classification and dimension reduction
মৌলিক উৎস	Geisser, S. (1964). Posterior odds for multivariate normal classifications. Journal of the Royal Statistical Society, Series B, 26(1), 69–76.	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.
অপর নাম	BDA, Bayesian linear discriminant analysis, Bayesian quadratic discriminant analysis, Bayesian classification	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis
সম্পর্কিত	4	4
সারসংক্ষেপ	Bayesian discriminant analysis assigns observations to predefined groups by combining a multivariate Gaussian likelihood for each class with prior distributions over the class means and covariance matrices. Posterior predictive probabilities replace point-estimate decision boundaries, providing principled uncertainty quantification for classification in small or high-dimensional samples.	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.