The Comparative Effects of Clustering Algorithms on CPU and GPU

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Artificial Intelligence Theory and Applications
Volume:2 Issue:2
The Comparative Effects of Clustering Algorithms on CPU and GPU

The Comparative Effects of Clustering Algorithms on CPU and GPU

Authors : Pınar ERSOY, Mustafa ERŞAHİN, Buket ERŞAHİN

Pages : 19-27

View : 117 | Download : 18

Publication Date : 2022-10-01

Article Type : Research Paper

Abstract :The algorithm clustering can be defined as the operation of separating the populace or pieces of information into various groups. This article aims to construct a performance comparison for Partitional Clustering by using random, k-means++ algorithms implemented with Scikit-Learn and k-means++, Tunnel k-means algorithms implemented with TensorFlow-GPU by means of their execution times. As a final output, a related comparison table will be printed by supplying their framework specifications. Since the article does not focus on the context of data, the necessary data sets will be produced in a random manner.
Keywords : clustering, random k means, k means, tunnel k means, algorithm performance, TensorFlow GPU, Scikit Learn

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