I am working on a project where we extract the features from a image of the car and we need to classify it into the appropriate model of make(eg.Ford, Hyundai etc)...can i use the beyes classification for this..? if so what sort of input should i give..?
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Easy answer: Yes, you can do that.
But note: Bayes classification is not a method of classification. It is more of a principle which incorporates prior knowledge. You can extend every classifier to become bassian but the way you do that depends on the classifier.
Bayesian classifiers are: Modified EM-Algorithm, Bayesian-Networks, HMM trained with a Modified Baum-Welch-Algorithm and so on and so on...
Concerning the input: Typicaly the image is converted into a vector. This is done by appending the pixel-rows of an image to one large vector.
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this is a no go question. Unrelated to bioinformatics.
please ask this question at: http://stats.stackexchange.com/
The guy is named Thomas BAYES. Give him the honor and change the title.