Cost-Effective Clustering through Active Feature-value Acquisition Abstract Many datasets include feature values that are missing but may be acquired at a cost. In this paper, we consider the clustering task for such da

Source URL: www.prem-melville.com

Study on the Clustering Coefficients in Metabolic Network Using a Hierarchical Framework Jose C. Nacher Nobuhisa Ueda

Source URL: www.jsbi.org

• Graph theory
• Network theory
• Clustering coefficient
• Complex network
• Degree distribution
• Scale-free network
• Modularity
• KEGG
• Topology
• Line graph
• Hierarchical network model
• Network science

User Interactions in Social Networks and their Implications Christo Wilson, Bryce Boe, Alessandra Sala, Krishna P. N. Puttaswamy, and Ben Y. Zhao Computer Science Department, University of California at Santa Barbara {bo

Source URL: www.cs.ucsb.edu

• Social networking services
• Facebook
• Social information processing
• Social networks
• Social systems
• Small-world network
• Clustering coefficient
• Social network
• Clique
• Social graph
• Graph
• Orkut

Appendix to: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts Hariharan Narayanan Department of Computer Science University of Chicago

Source URL: people.cs.uchicago.edu

Cosmology from galaxy clustering (in the SDSS) Will Percival University of Portsmouth Introduction to galaxy clustering

Source URL: sdss2008.uchicago.edu

• Physical cosmology
• Astronomy
• Physics
• Lambda-CDM model
• Cosmic microwave background
• DV
• Bao
• Philosophy of physics

Qualitative Measure for Particle Clustering and Object Classification in Context of the World Modeling for a Mobile Robot Extended Abstract Heinrich Mellmann and Marcus Scheunemann Institut f¨

Source URL: csp2011.mimuw.edu.pl

IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Multi-Scale Categorical Object Recognition Using Contour Fragments

Source URL: jamie.shotton.org

• Image processing
• Feature detection
• Computer vision
• Generalised Hough transform
• Shape context
• Image segmentation
• K-means clustering
• Outline of object recognition
• Constellation model
• Centroid
• Edge detection
• Caltech 101

Integrating Constraints and Metric Learning in Semi-Supervised Clustering

Source URL: leitang.net

Genome Informatics 16(2): 125–Statistical Evaluation of a Bottom-Up Clustering for Single Particle Molecular Images

Source URL: www.jsbi.org

• Image processing
• Statistics
• Cluster analysis
• Data mining
• Geostatistics
• Information
• Data
• Hierarchical clustering
• Single particle analysis
• Smoothing
• Noise reduction
• Clustering

Visualizing and Clustering High-Throughput Data with R/Bioconductor Overview Thomas Girke December 5, 2014

Source URL: faculty.ucr.edu