Recent Developments in Document Clustering Nicholas O. Andrews and Edward A. Fox Department of Computer Science, Virginia Tech, Blacksburg, VA 24060 {nandrews, fox}@vt.edu October 16, 2007

Source URL: eprints.cs.vt.edu

Combining a Double Clustering Approach with Sentence Simplification to Produce Highly Informative Multi-document Summaries Sara Botelho Silveira and Ant´onio Branco University of Lisbon Edif´ıcio C6, Departamento de

Source URL: www.di.fc.ul.pt

Using a Wikipedia-based Semantic Relatedness Measure for Document Clustering Majid Yazdani Idiap Research Institute and EPFL Centre du Parc, Rue MarconiMartigny, Switzerland

Source URL: majid.yazdani.me

One-Touch Access to Music on Mobile Devices Dominik Schnitzer1,2 ,Tim Pohle1 , Peter Knees1 , and Gerhard Widmer1,2 1 Department of Computational Perception, Johannes Kepler University Linz, Austria 2

Source URL: www.schnitzer.at

• Software
• Computing
• Portable media players
• Music information retrieval
• Music software
• IPod software
• Last.fm
• Playlist
• Non-negative matrix factorization
• Document clustering
• IPod
• Recommender system

V-Measure: A conditional entropy-based external cluster evaluation measure Andrew Rosenberg and Julia Hirschberg Department of Computer Science Columbia University New York, NY 10027

Source URL: www1.cs.columbia.edu

• Statistics
• Cluster analysis
• Information science
• Data analysis
• Data mining
• Geostatistics
• Hierarchical clustering
• K-means clustering
• Document clustering
• Biclustering
• Consensus clustering
• Determining the number of clusters in a data set

Co-Citation Analysis of the Scientific Literature: Henry Small on Mapping the Collective Mind of Science

Source URL: www.garfield.library.upenn.edu

• Information science
• Cluster analysis
• Data mining
• Geostatistics
• Information retrieval
• Cluster
• Document clustering
• Discipline
• Information

Microsoft Word - wch.V1.5.print.doc

Source URL: www.sogou.com

• Information science
• Data mining
• Information
• Natural language processing
• Statistical natural language processing
• Document clustering
• Cluster analysis
• Topic model
• Information retrieval
• UPGMA

Personalized Collaborative Clustering Yisong Yue Chong Wang Disney Research

Source URL: dl.dropboxusercontent.com

• Information science
• Information retrieval
• Cluster analysis
• Information
• Recommender systems
• Collaborative filtering
• Collaborative software
• Collective intelligence
• Social information processing
• Consensus clustering
• Document clustering
• Machine learning

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Monthly Peer Reviewed Open Access International e-Journal

Source URL: www.ijmetmr.com

• Statistics
• Data mining
• Cluster analysis
• Information
• Geostatistics
• Feature selection
• Machine learning
• Determining the number of clusters in a data set
• Document clustering

SOM-based Document Image Retrieval Stefano Faini Simone Marinai Emanuele Marino Giovanni Soda DSI - University of Florence (Italy) E-mail: Abstract

Source URL: www.dsi.unifi.it

• Information science
• Information retrieval
• Natural language processing
• Data mining
• Dimension reduction
• Self-organizing map
• Document retrieval
• Relevance
• Nearest neighbor search
• Search engine indexing
• Proximity search
• Document clustering