Hypermetric k-Means Clustering for Content-based Document Management Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino, Dept. Biophysical and Electronic Engineering, University of Genoa, 16145 Genova, Italy {

Source URL: digilander.libero.it

Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters

Source URL: ijcai.org

• Mathematics
• Statistics
• Data analysis
• Cluster analysis
• Consensus clustering
• Non-negative matrix factorization
• K-means clustering
• Hierarchical clustering
• Spectral clustering
• Document clustering
• Graph partition
• Correlation clustering

A Spectral Clustering Approach to Optimally Combining Numerical Vectors with a Modular Network Motoki Shiga Bioinformatics Center Kyoto University

Source URL: www.bic.kyoto-u.ac.jp

• Algebra
• Mathematics
• Algebraic graph theory
• Spectral clustering
• Cluster analysis
• K-means clustering
• Eigenvalues and eigenvectors
• Graph partition
• Community structure
• Document clustering
• Hierarchical clustering
• Consensus clustering

Local Semantic Kernels for Text Document Clustering Loulwah AlSumait and Carlotta Domeniconi Department of Information and Software Engineering George Mason University , Abstract

Source URL: cs.gmu.edu

Algebraic Techniques for Multilingual Document Clustering Peter A. Chew and Brett W. Bader Sandia National Laboratories Text Mining Workshop

Source URL: web.eecs.utk.edu

Student Questionnaire Analyses for Class Management based on Document Clustering and Classification Algorithms Shigeichi Hirasawa Abstract

Source URL: www.cyber-u.ac.jp

Setup for Failover Clustering and Microsoft Cluster Service ESXi 5.0 vCenter Server 5.0 This document supports the version of each product listed and

Source URL: pubs.vmware.com

Multi-view Exploratory Learning for AKBC Problems William W. Cohen School of Computer Science Carnegie Mellon University

Source URL: www.akbc.ws

• Statistics
• Semi-supervised learning
• Document classification
• Expectation–maximization algorithm
• Supervised learning
• K-means clustering
• Word-sense disambiguation
• Concept learning
• Statistical classification
• Machine learning
• Computational statistics
• Artificial intelligence

Wikipedia-based Topic Clustering for Microblogs Tan Xu College of Information Studies University of Maryland, College Park, MD 20742

Source URL: www.asis.org

• Science
• Computational linguistics
• Cluster analysis
• Data mining
• Geostatistics
• Microblogging
• Cluster labeling
• Document clustering
• Semantic similarity
• Information science
• Statistics
• Information retrieval

R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and

Source URL: cran.um.ac.ir

• Data analysis
• Consensus clustering
• K-means clustering
• Clustering high-dimensional data
• Oracle Data Mining
• DBSCAN
• Hierarchical clustering
• Data stream clustering
• Fuzzy clustering
• Statistics
• Cluster analysis
• Multivariate statistics