Main Reference PaperFeature selection considering weighted relevancy, Applied Intelligence, 2018 [Java/Python/R]
  • A feature selection method mainly ignores the relationships between candidate feature relevancy and selected feature relevancy. To select the best relevant features, this work proposed a feature selection method named Feature Selection based on Weighted Relevancy (WRFS). It uses mutual information and joint mutual information to balance the importance between the two kinds of feature relevancy terms.

+ Description
  • A feature selection method mainly ignores the relationships between candidate feature relevancy and selected feature relevancy. To select the best relevant features, this work proposed a feature selection method named Feature Selection based on Weighted Relevancy (WRFS). It uses mutual information and joint mutual information to balance the importance between the two kinds of feature relevancy terms.

  • To improve the classification accuracy

  • To extract the relevant features

+ Aim & Objectives
  • To improve the classification accuracy

  • To extract the relevant features

  • A more reasonable feature selection mechanism is contributed.

+ Contribution
  • A more reasonable feature selection mechanism is contributed.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

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+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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