Main Reference PaperA Novel Approach for Data Clustering using Improved K-means Algorithm, International Journal of Computer Applications, May 2016 [Java].
  • 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.

  • Java JDK 1.8

  • Netbeans 8.0.1 and J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8

  • Netbeans 8.0.1 and J2SE.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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