Title: A dynamic replicative K-means with self-compiling particle swarm intelligence for dataset classification

Authors: A.M. Viswa Bharathy

Addresses: Computer Science and Engineering (CSE), Anna University, Chennai, India

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.

Keywords: K-means; replicative; swarm; optimisation; multi-classification.

DOI: 10.1504/IJBIDM.2019.10019194

International Journal of Business Intelligence and Data Mining, 2021 Vol.18 No.2, pp.246 - 260

Accepted: 02 Sep 2018
Published online: 28 Jan 2021 *

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