The Indistinguishable Revision on Group (Cluster) Analysis

Abstract

In the digital world information is collected from various sources like humans, machines, internet, etc. It increases the volume of the data and so the traditional data mining clustering algorithms become very difficult to cluster the massive datasets. To rectify this issue, comparing hybrid clustering techniques for clustering the massive datasets. While executing the massive dataset the existing clustering algorithm is done sequentially and so to reduce the execution time the researchers need parallel techniques.