K-means and Principal Components Analysis Approach For Clustering Malicious URLs-Reference-Cited by-同舟云学术

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K-means and Principal Components Analysis Approach For Clustering Malicious URLs

Published:2023-09-13 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Computing and Information Technology (ICCIT)
language:
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Author:

Aloufi Rasha¹,Alharbi Adel R.¹

Affiliation:

1. University of Tabuk,College of Computing & Information Technology,Tabuk,KSA,71491

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273859/10273869/10273923.pdf?arnumber=10273923

Reference15 articles.

1. BLANC: Implementing the Rand index for coreference evaluation

2. The NVI clustering evaluation measure

3. A widely applicable bayesian information criterion;watanabe;Journal of Machine Learning Research,2013

4. Review on determining number of cluster in k-means clustering;kodinariya;International Journal,2013

5. Cluster ensembles—a knowledge reuse framework for combining multiple partitions;strehl;Journal of Machine Learning Research,2002

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