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arXiv · 2308.11008

Approximating Clustering for Memory Management and request processing

D. D. D. Suribabu·T. Hitendra Sarma·B. Eswar Reddy
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Abstract

Clustering is a crucial tool for analyzing data in virtually every scientific and engineering discipline. There are more scalable solutions framed to enable time and space clustering for the future large-scale data analyses. As a result, hardware and software innovations that can significantly improve data efficiency and performance of the data clustering techniques are necessary to make the future large-scale data analysis practical. This paper proposes a novel mechanism for computing bit-serial medians. We propose a novel method, two-parameter terms that enables in computation within the data arrays

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D. D. D. Suribabu, T. Hitendra Sarma, B. Eswar Reddy. 2023-08-17. Approximating Clustering for Memory Management and request processing. https://arxiv.org/abs/2308.11008

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