Parallelization in Traditional Clustering Algorithms
(Sprache: Englisch)
Clustering is one of the ways to classify and segregate data into clusters or groups based on the similarity between them. But this process can be a very time consuming task. The goal is to reduce the time taken for computation and keep the performance of...
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Clustering is one of the ways to classify and segregate data into clusters or groups based on the similarity between them. But this process can be a very time consuming task. The goal is to reduce the time taken for computation and keep the performance of the algorithm consistent. To achieve this, we parallelize the algorithm such that various independent segments can run concurrently and hence reduce the execution time while giving the same performance.
Autoren-Porträt von Balamurugan Rengeswaran
Rengeswaran, BalamuruganDr Balamurugan Rengeswaran received his B.E. degree in Computer Science and Engineering in 2010 from the Government College of Engineering, Salem and his M.E. degree in Computer Science and Engineering in 2012 from the Bannari Amman Institute of Technology, Sathyamangalam. He completed his Ph.D. in Information and Communication Engineering in 2016
Bibliographische Angaben
- Autor: Balamurugan Rengeswaran
- 2019, 52 Seiten, Masse: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139457807
- ISBN-13: 9786139457809
Sprache:
Englisch
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