Main Reference PaperOptimizing k-means for Scalability, International Journal of Computer Applications, June 2015.
  • This project aims to improve the scalability of k-means clustering algorithm and also compare the scalability of proposal on various big dataset. To adapt the k-means for scalability, it should improves the speed or running time of cluster formation. To make it faster, this work suggest that Initial centroids are selected as close as possible to ideal cluster centroids then algorithm will take less time to converge.

+ Description
  • This project aims to improve the scalability of k-means clustering algorithm and also compare the scalability of proposal on various big dataset. To adapt the k-means for scalability, it should improves the speed or running time of cluster formation. To make it faster, this work suggest that Initial centroids are selected as close as possible to ideal cluster centroids then algorithm will take less time to converge.

  • To reduce the runtime of k-means algorithm.

  • To achieve scalability.

+ Aim & Objectives
  • To reduce the runtime of k-means algorithm.

  • To achieve scalability.

  • K-means algorithm can be further improved by use the sampling process to get some subsets of the big data. By processing these subsets, it obtain the cluster center sets which can be used to cluster the original datasets. These cluster centroid is selected based on thedistribution based merge clustering algorithm.

+ Contribution
  • K-means algorithm can be further improved by use the sampling process to get some subsets of the big data. By processing these subsets, it obtain the cluster center sets which can be used to cluster the original datasets. These cluster centroid is selected based on thedistribution based merge clustering algorithm.

  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1, J2SE, Hadoop.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1, J2SE, Hadoop.

  • B.E / B.Tech / M.E / M.Tech

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

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