Main Reference PaperA Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce, Big Data Research, 2018 [Python/Hadoop]
  • To solve the problems of large dataset clustering, a novel MapReduce based clustering method is proposed. An efficient variant of grey-wolf optimizer called enhanced grey-wolf opti-mizer (EGWO) is proposed to improve the quality of clustering. Further, the proposed EGWO is parallelized on the MapReduce model in the Hadoop framework and named MR-EGWO to handle the large-scale datasets.

Description
  • To solve the problems of large dataset clustering, a novel MapReduce based clustering method is proposed. An efficient variant of grey-wolf optimizer called enhanced grey-wolf opti-mizer (EGWO) is proposed to improve the quality of clustering. Further, the proposed EGWO is parallelized on the MapReduce model in the Hadoop framework and named MR-EGWO to handle the large-scale datasets.

  • To speedup the process of clustering.

  • To improve the clustering quality.

  • Reducing computation time.

Aim & Objectives
  • To speedup the process of clustering.

  • To improve the clustering quality.

  • Reducing computation time.

  • The proposed method extends on some real-world clustering applications with large datasets like twitter analysis, video analysis, and satellite image analysis.

Contribution
  • The proposed method extends on some real-world clustering applications with large datasets like twitter analysis, video analysis, and satellite image analysis.

  • 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Your email address will not be published.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