Main Reference PaperVariations on the Clustering Algorithm BIRCH, Big Data Research, 2018 [Python]
  • A clustering algorithms are A-BIRCH, a parameter-free variant of BIRCH, and MBD-BIRCH, an extension of tree-BIRCH that improves the clustering accuracy. The resulting algorithm, the user has to provide neither any parameters for the final clustering step like e.g.the cluster count, since there is no final clustering step anymore,nor the threshold parameter, since this is computed automatically.

Description
  • A clustering algorithms are A-BIRCH, a parameter-free variant of BIRCH, and MBD-BIRCH, an extension of tree-BIRCH that improves the clustering accuracy. The resulting algorithm, the user has to provide neither any parameters for the final clustering step like e.g.the cluster count, since there is no final clustering step anymore,nor the threshold parameter, since this is computed automatically.

  • To achieve the cluster quality and speed.

Aim & Objectives
  • To achieve the cluster quality and speed.

  • Proposed work is focused only on two-dimensional data sets. In future work, the clustering algorithm extends to data sets with more than two dimensions.

Contribution
  • Proposed work is focused only on two-dimensional data sets. In future work, the clustering algorithm extends to data sets with more than two dimensions.

  • 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.

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