Evaluation of BIRCH Clustering Algorithm for Big Data


Authors : Akshatha S R, Dr. Niharika Kumar.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2wpE0VR

Abstract : Clustering algorithm are as of late recapturing consideration with the accessibility of vast datasets. Many clustering algorithm don’t scale well with the expanding dataset and requires the cluster count parameter which is difficult to assess. In a BIRCH Clustering algorithm, computing the threshold parameter of BIRCH from the data is evaluated and the issue of Scalability with increasing dataset sizes and the cluster count is solved.

Keywords : BIRCH Clustering Algorithm, Tree-BIRCH, Flat Tree.

Clustering algorithm are as of late recapturing consideration with the accessibility of vast datasets. Many clustering algorithm don’t scale well with the expanding dataset and requires the cluster count parameter which is difficult to assess. In a BIRCH Clustering algorithm, computing the threshold parameter of BIRCH from the data is evaluated and the issue of Scalability with increasing dataset sizes and the cluster count is solved.

Keywords : BIRCH Clustering Algorithm, Tree-BIRCH, Flat Tree.

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