An Implementation of TOPSIS Approach to Improve the Performance of K-Means Algorithm in Data Embezzlement System

Abstract

A cluster of data from the database using the k-means clustering algorithm with reduced time consumption and increased efficiency. From the cluster we can select the alternative that is the closest to the ideal solution and farthest from negative ideal alternative. We have used the TOPSIS methodology to find the negative ideal solution.

Authors and Affiliations

Aishwarya Balakrishnan

Keywords

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  • EP ID EP21405
  • DOI -
  • Views 282
  • Downloads 4

How To Cite

Aishwarya Balakrishnan (2015). An Implementation of TOPSIS Approach to Improve the Performance of K-Means Algorithm in Data Embezzlement System. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(11), -. https://europub.co.uk./articles/-A-21405