Feature weighting filter method based on correlation and Naive Bayes classification method
A Bayesian classification and feature weighting technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of sacrificing the computational complexity and simplicity of the model
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[0035] The present invention will be further described below in conjunction with embodiment.
[0036] The invention provides a feature weighted filtering method based on correlation, comprising the following steps:
[0037] (1) Suppose A 1 ,A 2 ,...,A m Represents m feature variables of a known training instance set, a i Represents the characteristic variable A i The value of i∈[1,m]; C represents the class variable of the training instance, c represents the value of C, then for each feature variable A i , use the following formula to calculate the mutual information I(A i ;C):
[0038] I ( A i ; C ) = Σ a i Σ c P ( a i , c ) log P ( a ...
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