A dynamic replicative K-means with self-compiling particle swarm intelligence for dataset classification. (28th January 2021)

• Record Type: Journal Article
• Authors: Bharathy, A.M. Viswa
• Is Part Of: International journal of business intelligence and data mining. Volume 18:Number 2(2021)
• Page Start: 246
• Page End: 260
• Publication Date: 2021-01-28
• Subjects: K-means -- replicative -- swarm -- optimisation -- multi-classification; 006.312
• Languages: English
• ISSNs: 1743-8187

Abstract

The classification techniques proposed so far is not sufficiently intelligent in classifying data set beyond two level classifications. To multi classify the data set for network data we are in need of more hybrid algorithms. In this paper we propose a hybrid technique by combining a modified K-means algorithm called dynamic replicative K-means (DRKM) with self-compiling particle swarm intelligence (SCPSI). The dataset we have chosen for the experiment is KDD Cup 99. The DRKM-SCPSI performs better in terms of detection rate (DR), false positive rate (FPR) and accuracy which is visible from the results presented.