Main Reference PaperNew fast feature selection methods based on multiple support vector data description, Applied Intelligence, 2018 [Java/Python/R]
  • Feature selection methods are proposed based on multiple support vector data description, called FMSVDD-RRFE and FMSVDD-DRFE. It supports for both of one-class classification and multi-class ones. However, it suffers from high computational complexity. To solve this problem, the multiple SVDD is integrated into feature selection methods.

+ Description
  • Feature selection methods are proposed based on multiple support vector data description, called FMSVDD-RRFE and FMSVDD-DRFE. It supports for both of one-class classification and multi-class ones. However, it suffers from high computational complexity. To solve this problem, the multiple SVDD is integrated into feature selection methods.

  • To find the relevant features of high dimensional data

  • To reduce the computational complexity

+ Aim & Objectives
  • To find the relevant features of high dimensional data

  • To reduce the computational complexity

  • To find the correlation between features, an information gain metric can be contributed to feature selection mechanism.

+ Contribution
  • To find the correlation between features, an information gain metric can be contributed to feature selection mechanism.

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit