Data Mining and Machine Learning Applications

5Data Mining Tools and Techniques: Clustering Analysis

Rohit Miri¹, Amit Kumar Dewangan²*, S.R. Tandan¹, Priya Bhatnagar³ and Hiral Raja⁴

¹Department of CSE, Dr. C.V. Raman University Bilaspur, Chhattisgarh, India

²IT Department, G.G.V. (Central University) Bilaspur, Chhattisgarh, India

³Department of CSE, VNR VJIET, Hyderabad, India

⁴CMR Engineering College, Hyderabad, India

Abstract

The whole research focuses on a range of techniques, challenges, and different areas of investigation that are useful and identified as an important field of data mining technology. Even though we know, many MNCs and huge organisations are working in better places in different countries. Each place of action can generate huge amounts of data. Corporate executives grant access from every solitary source and make vital choices. The Information Distribution Center is often used in an enormous business sense by enhancing the viability of the administrative dynamic. In an uncertain and deeply serious development business, the approximation of important data frameworks, for example, is nevertheless successfully viewed in the existing business situation. Efficiency or frequency is not the key to intensity. This kind of tremendous amount of information is available as a tera-to-petabyte that has completely changed in the scientific fields and specification. To analyze, monitor, and resolve the selection of this massive quantity of information, we require methodology based Data Mining, that will change ...