Main Reference PaperA new method for feature selection based on intelligent water drops, Applied Intelligence, 2018 [Java/Python/R]
  • Intelligent water drops algorithm based feature selection is proposed. It is a metaheuristic algorithm which is trying to maximize the distance between the classes and minimize the distance within classes. In this algorithm, the search space is modeled by a graph.

+ Description
  • Intelligent water drops algorithm based feature selection is proposed. It is a metaheuristic algorithm which is trying to maximize the distance between the classes and minimize the distance within classes. In this algorithm, the search space is modeled by a graph.

  • To select the most relevant features.

  • To improve the accuracy of classifiers.

+ Aim & Objectives
  • To select the most relevant features.

  • To improve the accuracy of classifiers.

  • To improve the classification accuracy, an information gain metric is integrated into feature selection algorithms.

+ Contribution
  • To improve the classification accuracy, an information gain metric is integrated into feature selection algorithms.

  • 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.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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

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