University of Bahrain
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applying hybrid clustering with evaluation by AUC classification metrics

Show simple item record Fattah, Ali M. Ali , Waffaa Asaad Hasan , Mustafa 2023-09-25T18:14:47Z 2023-09-25T18:14:47Z 2024-03-1
dc.identifier.issn 2210-142X
dc.description.abstract Traditional metrics may not adequately assess performance in certain situations, whereas Area Under the Curve (AUC) offers a comprehensive perspective by considering sensitivity and specificity. This method enhances interpretability, addresses limitations, and promotes the development of robust clustering algorithms. Incorporating AUC into unsupervised learning is crucial for refining data analysis strategies. This paper highlights the advantages of using AUC classification metrics as an evaluation tool for clustering algorithms inspired by a recent novel contribution utilizing the AUCC technique. Hybrid clustering models merge the strengths of various clustering approaches to deliver more robust, accurate, and adaptable solutions. Since linkages significantly influence cluster structure and cohesion, selecting the appropriate linkage is essential for accurately discerning patterns in complex datasets. Consequently, we employed single and average linkage methods using Euclidean and Manhattan distance measures. The experiment was conducted on the NSL-KDD dataset for intrusion detection purposes. The results indicated variance in False Alarm Rate (FAR) and Detection Rate (DR) across different NSL-KDD training and testing subsets. en_US
dc.language.iso en en_US
dc.publisher University Of Bahrain en_US
dc.subject ROC en_US
dc.subject AUC en_US
dc.subject Classification en_US
dc.subject Clustering en_US
dc.subject Hybrid model en_US
dc.title applying hybrid clustering with evaluation by AUC classification metrics en_US
dc.type Article en_US
dc.volume 15 en_US
dc.issue 1 en_US
dc.pagestart 1091 en_US
dc.pageend 1102 en_US
dc.contributor.authorcountry Iraq en_US
dc.contributor.authoraffiliation CIS Dept of Computer Science and Inof Technology, University of Sumer, Thi-Qar en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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