Main Reference PaperA Novel Approach for Data Clustering using Improved K-means Algorithm, International Journal of Computer Applications, May 2016 [R].
  • This work improves the performance using normalization and initial centroid selection techniques in already existing algorithm. The experimental result shows that, the proposed algorithm can overcome shortcomings of the K-means algorithm.

Description
  • This work improves the performance using normalization and initial centroid selection techniques in already existing algorithm. The experimental result shows that, the proposed algorithm can overcome shortcomings of the K-means algorithm.

  • To produce clusters with better accuracy.

  • Reducing Execution time.

Aim & Objectives
  • To produce clusters with better accuracy.

  • Reducing Execution time.

  • A technique is contributed that improves the accuracy of proposed algorithm.

Contribution
  • A technique is contributed that improves the accuracy of proposed algorithm.

  • 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.

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