alexa Abstract | Optimization Algorithms for Feature Selection in Classification: A Survey
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article Open Access


Classification problems have a large number of features in datasets, but not all them are useful for classification. Irrelevant and redundant features reduce the performance. These features may be considered as noisy. In order to solve this problem we perform a feature selection process. It is a preprocessing technique for solving classification problem. Feature Selection aims to choose relevant features to achieve better performance than using all features. Feature selection main objectives are maximizing the classification performance and minimize the features. Inorder to improve the classification accuracy a survey on various Optimization algorithms which uses feature selection for solving classification problem is done.

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Author(s): S.Ruba Arockia Archana, Dr.M.S.Thanabal


Feature selection, Optimization algorithms, Classification problem., Communicate Speech pathology,Bilingual Speech pathology,Medical Speech pathology,Speech Impediment.

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