Comparing K-means, K-medoids and ISODATA Clustering Algorithms for a Cloud Service Search Engine
Walaa Reda1, Hanan Elazhary2, Ehab Hassanein3
1Walaa Reda, Information Systems Department, Cairo University, Cairo, Egypt.
2Hanan Elazhary, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia; Computers and Systems Department, Electronics Research Institute, Cairo, Egypt.
3Ehab Hassanein, Information Systems Department, Cairo University, Cairo, Egypt.
Manuscript received on 20 August 2019. | Revised Manuscript received on 24 August 2019. | Manuscript published on 30 September 2019. | PP: 4978-4982 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5632098319/2019©BEIESP | DOI: 10.35940/ijrte.C5632.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Cloud Computing, Cloud Services, ISODATA, K-means, K-medoids.
Scope of the Article: Cloud Computing