Call for Sponsorship The Workshop on Clustering High Dimensional Data and its Applications is devoted to bringing together researchers from academia, government and industry working on problems involving clustering and i

Source URL: www.cs.utexas.edu

Content Extraction Using Diverse Feature Sets Matthew E. Peters Dan Lecocq SEOmoz

Source URL: www2013.wwwconference.org

• Computational linguistics
• Algorithm
• Mathematical logic
• Theoretical computer science
• Data mining
• Information science
• Academia
• Natural language processing
• Mathematics
• Document clustering
• Automatic summarization

Robust Subspace Clustering Mahdi Soltanolkotabi∗, Ehsan Elhamifar† and Emmanuel J. Cand`es‡ January 2013 Abstract Subspace clustering refers to the task of finding a multi-subspace representation that best fits

Source URL: statweb.stanford.edu

CopyCatch: Stopping Group Attacks by Spotting Lockstep Behavior in Social Networks ∗ Alex Beutel

Source URL: www2013.wwwconference.org

• Cluster analysis
• Distributed computing architecture
• MapReduce
• Parallel computing
• Bipartite graph
• Biclustering
• Facebook
• Zarankiewicz problem
• Matching
• Belief propagation
• Recommender system
• Consensus clustering

APPROXIMATION ALGORITHMS FOR CLUSTERING PROBLEMS A Dissertation Presented to the Faculty of the Graduate School of Cornell University

Source URL: www.math.uwaterloo.ca

Very Fast Similarity Queries on Semi-Structured Data from the Web Bhavana Dalvi School of Computer Science Carnegie Mellon University

Source URL: www.cs.cmu.edu

• Statistical classification
• Statistics
• Search algorithms
• Support vector machine
• K-nearest neighbors algorithm
• K-means clustering
• Data
• Topological graph theory
• Learning
• Machine learning

unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering Jey Han Lau, Paul Cook and Timothy Baldwin Department of Computing and Information Systems The University of Melbourne

Source URL: cs.unb.ca

DOI: j00611.x Biometrics 62, 1089–1098 DecemberA Unified Approach for Simultaneous Gene Clustering

Source URL: pages.stat.wisc.edu

NetSimile: A Scalable Approach to Size-Independent Network Similarity Michele Berlingerio∗ ∗ IBM Research

Source URL: arxiv.org

• Graph theory
• Mathematics
• Discrete mathematics
• Network theory
• Algebraic graph theory
• Network analysis
• Clustering coefficient
• Graph
• Random graph
• Cluster analysis

“Clustering Academic Units and Services: The Good, The Bad, and the Ugly” by Darrell Rummel, UC Riverside Presented at the ABOG 2010 conference. 

Source URL: aba.ucsd.edu