In Today’s world clustering techniques are used in different fields like Image Classification, AI, E-commerce, etc. The advantage of clustering is that it provides a summarized output for the user, where the user can obtain the exact results and predict the outcome. Once implemented, clustering offers a clarified outcome to the user which strikes out the necessity for further research and development. Clustering plays a major role in areas where there is a probability and necessity of figuring out similar as well as dissimilar objects. One of the major aspects of data mining is to differentiate between objects based on their properties or attributes. This paper focuses on three such fields namely Medical Science, Agriculture and E-Commerce.

Clustering, Medical Science, Agriculture, E-commerce

[1] Rachid Ait daoud, Abdellah Amine, Belaid Bouikhalene, Rachid Lbibb,” Customer Segmentation Model in E-commerce Using Clustering Techniques and LRFM Model: International Journal of Computer and Information Engineering Vol:9, No:8, 2015 2000International.
[2] HuaYu, XiZhang, “Research on the application of IoT in E-commerce”, 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).
[3] Patel, Hetal, Patel, Dharmendra (2014). A Brief survey of Data Mining Techniques Applied to Agricultural Data. International Journal of Computer Applications (0975 – 8887) Volume 95– No. 9, June 2014.
[4] Yadav, Dileep Kumar (2015). A Comparative Analysis Of Clustering Algorithms For Agricultural Data. International Journal of Current Research Vol. 7, Issue, 07, pp.18361-18364, July, 2015
[5] Mucherino, A., Papajorgji, P., & Pardalos, P. (2009). Data mining in agriculture (Vol. 34). Springer.
[6] Ruß, Georg, Kruse, Rudolf, Schneider, Martin, Wagner, Peter (2008). Visualization of Agriculture Data Using Self-Organizing Maps. International Conference on Innovative Techniques and Applications of Artificial Intelligence SGAI 2008: Applications and Innovations in Intelligent Systems XVI pp 47-60. Springer.
[7] K.J. and G.W. Moore Cios, "Uniqueness of medical data mining ," Artificial Intelligence in Medicine, pp. 1-24, 2002.
[8] Anamika Gupta, Naveen Kumar, and Vasudha Bhatnagar," Analysis of Medical Data using Data Mining and Formal Concept Analysis, World Academy of Science, Engineering and Technology International Journal of Medical and Health Sciences Vol:1, No:11, 2007 .
[9] H. R. Warner and O. Bouhaddou, “Innovation review: Iliad—A medical diagnostic support program” Top Health Inf. Manage., vol. 14, no. 4, pp. 51–58, 1994.
[10] Dr. Bushra M. Hussan,” Data Mining based Prediction of Medical data Using K-means algorithm”, Computer Science Department - Collegeof Science - Basrah University, Basrah Journal of Science (A) Vol.30(1),46-56 2012.