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2 articles for “Partitioning Around Medoid (PAM)”
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A Clustering Based CPU Scheduling Algorithm for Real Time Systems
Abstract: CPU scheduling is a fundamental function of operating system. The performance and efficiency of multitasking operating systems mainly depend upon the uses of CPU scheduling algorithm. When an operating system wants to execute a process, it does not know the execution time it needs. After running, the exact execution time of that process would appear. Here we present a new scheduling approach using the Partitioning Around Medoid (PAM) clustering algorithm …
Published in Current Trends in Information Technology · Vol. 1, Issue 1, 2011 · pp. 1–7 Read article
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A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article