One kind of naive Bayes classifier algorithm
2016-08-23
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If a sample can be divided into two kinds of classification A, B.
To compare P (A | F1, F2 ......) with P | size (B F1, F2 ......) of comparison only, P (A) P (F1, F2 .... .. | A), and P (B) P (F1, F2 ...... | B).
Because both the denominator consensus.
And P (A) P (F1, F2 ...... | A) can be scaled to P (A) P (F1 | A) P (F2 | A) ....... (Fn | A )
Therefore, in the category, simply compares each property multiplied by the probability of classification under the tired, then you can multiply the probability of the classification.
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