Version 1
: Received: 15 December 2023 / Approved: 15 December 2023 / Online: 15 December 2023 (15:03:34 CET)
How to cite:
Prasad, M.D.V.; Thota, S. A Survey on Dependency of Parallel Clustering Platforms on Clustering Algorithms with Their Clustering Criteria for Big Data. Preprints2023, 2023121201. https://doi.org/10.20944/preprints202312.1201.v1
Prasad, M.D.V.; Thota, S. A Survey on Dependency of Parallel Clustering Platforms on Clustering Algorithms with Their Clustering Criteria for Big Data. Preprints 2023, 2023121201. https://doi.org/10.20944/preprints202312.1201.v1
Prasad, M.D.V.; Thota, S. A Survey on Dependency of Parallel Clustering Platforms on Clustering Algorithms with Their Clustering Criteria for Big Data. Preprints2023, 2023121201. https://doi.org/10.20944/preprints202312.1201.v1
APA Style
Prasad, M.D.V., & Thota, S. (2023). A Survey on Dependency of Parallel Clustering Platforms on Clustering Algorithms with Their Clustering Criteria for Big Data. Preprints. https://doi.org/10.20944/preprints202312.1201.v1
Chicago/Turabian Style
Prasad, M.D.V. and Srikanth Thota. 2023 "A Survey on Dependency of Parallel Clustering Platforms on Clustering Algorithms with Their Clustering Criteria for Big Data" Preprints. https://doi.org/10.20944/preprints202312.1201.v1
Abstract
Clustering is a data mining task used for the data extraction from the data bases or files. Clustering is used to find unknown groups present in the data sources like files or data bases. This paper focuses on clustering algorithms performance dependency on the parallel clustering platforms and the clustering algorithms along with their clustering criteria. The problems with the present Traditional clustering algorithms were throughput and data source size changes (scalability). So they can’t address the big data. So for handling the huge volumes of data, parallel clustering algorithms along with clustering criteria were used. For processing the big Data Parallel clustering algorithms are of two types based on computing platforms used. They were the horizontal scaling platforms and vertical scaling platforms.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
