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A Clustering Approach for Optimization of Search Result

Shruti Kohli and Shashi Mehrotra
Birla Institute of Technology, Mesra, India

Abstract—With the massive increase in the use of internet and web data, retrieval of relevant information quickly is very important, and some efficient technique is required for data analysis. Grouping of objects may be helpful for data analysis, where clustering is useful. Clustering on-line result is a challenging technique. Search option is excessively used in almost every website. The study proposes a hybrid clustering algorithm to optimize search result of the website. The domain of the website is medical. Matrices will be used to analyze user behaviour. User trust will be measured. Clustering of search result will facilitate users to get the relevant information in a quick manner.

Index Terms—clustering, analytics, cross validation, Euclidean distance

Cite: Shruti Kohli and Shashi Mehrotra, "A Clustering Approach for Optimization of Search Result," Journal of Image and Graphics, Vol. 4, No. 1, pp. 63-66, June 2016. doi: 10.18178/joig.4.1.63-66