CLUTO is a software package for clustering low- and high-dimensional datasets and for analyzing the characteristics of the various clusters. CLUTO is well-suited for clustering data sets arising in many diverse application areas including information retrieval, customer purchasing transactions, web, GIS, science, and biology.
This is the companion website for the following book.
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.
Short introduction to Vector Space Model (VSM) In information retrieval or text mining, the term frequency - inverse document frequency also called tf-idf, is
J. Singh, and A. Anand. Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, page 361--364. New York, NY, USA, ACM, (2017)
E. Amigo, H. Fang, S. Mizzaro, and C. Zhai. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 1419--1420. New York, NY, ACM, (2017)
R. Lapham, L. Young, and A. Crocker. (2017)cite arxiv:1705.00653Comment: This paper has been accepted to ApJ. The paper should be 24 pages and contains 16 figures.
A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Proceedings of the 3rd European Semantic Web Conference, volume 4011 of LNCS, page 411-426. Budva, Montenegro, Springer, (June 2006)