Usage Analysis of Smartphone with Hierarchical Clustering
R. Jayakarthik1, M. S. Nidhya2, K. Parvathavarthini3
1Dr. R. Jayakarthik, Associate Professor, Department of Computer Science, VELS Institute of Science, Technology and Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
2M.S. Nidhya, Assistant Professor, Department of Computer Science, VELS Institute of Science, Technology and Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
3K. Parvathavarthini, Assistant Professor, Department of Computer Science, VELS Institute of Science, Technology and Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
Manuscript received on 26 November 2019 | Revised Manuscript received on 08 December 2019 | Manuscript Published on 14 December 2019 | PP: 222-227 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10411091S19/19©BEIESP | DOI: 10.35940/ijeat.A1041.1091S19
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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/)
Abstract: Functional and Non Functional attributes are the important factors of the Smartphone. This paper deals with how to group the characteristics of mobile phone using the clustering algorithms and then obtained the results after classify the related algorithms. Classify all the functional and non-functional attributes of the smartphone using the latest data mining algorithms using WEKA (Waikato Environment for Knowledge Analysis) open-source software to analyze data.
Keywords: Usage Survey, Hierarchical Clustering. WEKA Tool.
Scope of the Article: Clustering