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Feature selection methods can be categorized into two types: filter methods and wrapper methods [37].
There are two main models that deal with feature selection: filter methods and wrapper methods [8].
It is possible to categorize the feature reduction algorithms into two categories: filter methods and wrapper methods.
To this end, filtering methods and wrapper methods have been used [3].
There are two major families of feature selection methods, namely, filter methods and wrapper methods.
In general, variable selection procedures can be categorized [ 5] into two main groups: filter methods and wrapper methods.
Similar(54)
In general, two types of gene selection methods have been studied in the literature: filter methods [ 6] and wrapper methods [ 7].
Here, we considered two filter methods and one wrapper method.
Two basic approaches for feature selection used in machine learning and information theory literature are the filter methods and the wrapper methods [ 9, 20, 20, 21].
Two major categories of feature selection methods are the filter method and the wrapper method.
In the feature selection literature, there are two popular methods: filtering-based and wrapper-based methods [40].
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