Main Reference PaperA Novel Approach for Data Clustering using Improved K-means Algorithm, International Journal of Computer Applications, May 2016 [Java].
  • he existing K-means algorithm is, inefficient while working on large data. The proposed modified k-means algorithm clusters the large datasets effectively with less execution time. To achieve the less execution time, this work apply the normalization technique and sorting technique used for faster accessing the data object.

+ Description
  • he existing K-means algorithm is, inefficient while working on large data. The proposed modified k-means algorithm clusters the large datasets effectively with less execution time. To achieve the less execution time, this work apply the normalization technique and sorting technique used for faster accessing the data object.

  • 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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