1 publication

• Published Subscription 26 Sep 2017

  Representative Feature Selection for Efficient Clustering

  By G. Vamsi Krishna, Seepana Priyanka

  Abstract: AbstractClustering is one of the widely used data mining techniques. In machine learning, it is an unsupervised learning method that needs training data to be used. The problem with clustering is that it is computationally expensive and takes more time for grouping high-dimensional data. Therefore it is necessary to reduce number of features in the high-dimensional data in order to make the search space reduced. Many techniques came into existance …

  Published in Journal Of Network security · Vol. 5, Issue 2, 2017 · pp. 19–27 Read article →