1. 1. Olston and M. Najork, “Web Crawling,” Foundations and Trends in Information Retrieval, . 4, pp. 175- 246, 2010.
   2. F. Zhao, J. Zhou, C. Nie, and HaiJin, “SmartCrawler: A Two-stage Crawler for Efficiently Harvesting Deep-Web Interfaces,” IEEE Transactions on Services Computing, vol. 99, pp. 1-14, 2015
   3. Savita and Sachin Shrivastava, “Search Engine Indexing Using K-means Clustering Techniques,” International Journal of Advance Research in Science and Engineering, vol. 5, pp. 218-227, 2016.
   4. Bh.Bangoria, N. Mankad and V. Pambhar, “Enhanced k-means clustring algorithm to reduce time complexity for numeric valuess,” International Journal of Advance Engineering and Research Development, vol. 1, pp. 1-9, 2014.
   5. A. Anitha, “An Efficient Agglomerative Clustering Algorithm for Web Navigation Pattern Identification,” In Scientific Research Publishing, vol. 7, pp. 2349-2356, 2016.
   6. G.H. Kim, Kyu-Young Whang and Min-Soo Kim, “Incremental Clustering Crawler for CommunityLimited Search,” Applications of Digital Information and Web Technologies, pp. 438-445, 2009.
   7. P. Dubey and A. Rajavat, “Implementation aspect of k-means algorithm for Improving performance” Proceedings of 28th IRF International Conference. vol. 10, pp. 96-102, 2015.
   8. Y. Thakare and S. Bagal, “Performance Evaluation of K-means Clustering Algorithm with Various Distance Metrics,” International Journal of Computer Application, vol. 110, pp. 12-16, 2015.
   9. Unnati R. Raval and Chaita Jani, “Implementing and Improvisation of K-means Clustering,” International Journal of Computer Science and Mobile Computing, vol. 4, pp. 72-76, 2015
   10. Sara Sandabad, Achraf Benba, Yassine Sayd Tahri and Ahmed Hammouch, “New method of tumor detection using K-means classifier and thresholding process,” IJCSI International Journal of Computer Science, vol. 12, pp. 132-136, 2015.