ABSTRACT A Scalable Algorithm for High-Quality Clustering of Web Snippets

by Marco Pellegrini , Paolo Pisati , Fabrizio Sebastiani

Active Bibliography

7 K-boost: A Scalable Algorithm for High Quality Clustering of Microarray Gene Expression Data TR IIT-2007-015, Istituto di Informatica e Telematica del CNR – Marco Pellegrini, Paolo Pisati, Fabrizio Sebastiani, Istituto Informatica Telematica, Consiglio Nazionale Delle Ricerche, Via G Moruzzi - 2007
10 M.: Cluster generation and cluster labelling for web snippets: A fast and accurate hierarchical solution – Marco Pellegrini, Marco Maggini, Fabrizio Sebastiani - 2006
4 Cluster generation and labeling for web snippets: A fast, accurate hierarchical solution – Marco Pellegrini, Marco Maggini, Fabrizio Sebastiani - 2006
636 Automatically characterizing large scale program behavior – Timothy Sherwood, Erez Perelman, Greg Hamerly - 2002
665 Quantization – Robert M. Gray, David L. Neuhoff - 1998
1 Inter-document similarity in web searches – Bruno Emanuel Da Graça Martins - 2004
410 Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions – Alexander Strehl, Joydeep Ghosh, Claire Cardie - 2002
322 Co-clustering documents and words using Bipartite Spectral Graph Partitioning – Inderjit S. Dhillon - 2001
361 OPTICS: Ordering Points To Identify the Clustering Structure – Mihael Ankerst, Markus M. Breunig, Hans-peter Kriegel, Jörg Sander - 1999