5 th AGILE Conference on Geographic Information Science, Palma (Mallorca, Spain) April 25th-27 thA Structural Approach to Model Generalisation of an Urban Street Network B. Jiang (1) and C. Claramunt (2) Division

Source URL: fromto.hig.se

• Graph theory
• Graph connectivity
• Connectivity
• Line graph
• Graph
• Minimum spanning tree
• Bridge
• Connected component
• Vertex
• Ear decomposition
• Directed graph
• Clustering coefficient

Send Orders for Reprints to The Open Automation and Control Systems Journal, 2016, 8, The Open Automation and Control

Source URL: benthamopen.com

• Wireless networking
• Wireless sensor network
• Mobile wireless sensor network
• Sensor node
• Sink
• Wireless ad hoc network
• ZigBee
• Flow network
• Secure data aggregation in WSN
• Low-energy adaptive clustering hierarchy

GroverCode: Code Canonicalization and Clustering Applied to Grading by Stacey Terman Submitted to the Department of Electrical Engineering and Computer

Source URL: groups.csail.mit.edu

• Online education
• Open educational resources
• Educational technology
• Higher education
• Free software
• Massive open online course
• MITx
• Grading systems by country
• Massachusetts Institute of Technology
• Small private online course

LNAIUsing a Double Clustering Approach to Build Extractive Multi-document Summaries

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

INDEPENDENT COMPONENT ANALYSIS APPLIED TO FMRI DATA: A NATURAL MODEL AND ORDER SELECTION V. Calhoun1,2, T. Adali2, G. Pearlson1 1 Johns Hopkins University Div. of Psychiatric Neuro-Imaging, 600 N. Wolfe St., Baltimore, M

Source URL: mialab.mrn.org

• Magnetic resonance imaging
• Multivariate statistics
• Neuroimaging
• Signal processing
• Cognitive neuroscience
• Functional magnetic resonance imaging
• Independent component analysis
• Principal component analysis
• Event-related functional magnetic resonance imaging
• K-means clustering
• Functional integration
• Resting state fMRI

Clustering Dynamic Textures with the Hierarchical EM Algorithm Antoni B. Chan Dept. of Computer Science City University of Hong Kong Emanuele Coviello

Source URL: eceweb.ucsd.edu

• Estimation theory
• Force
• Mechanics
• Rigid bodies
• Mechanical engineering
• Hierarchical clustering
• Kalman filter
• Work
• Rigid body dynamics
• K-means clustering
• Expectationmaximization algorithm
• Cluster analysis

Details of our Motif Clustering Procedure 1 Bayesian Hierarchical Clustering Model The data for each discovered motif is a count matrix Ni which can have different widths and number of counts compared to other TF motifs.

Source URL: www-stat.wharton.upenn.edu

• Hierarchical clustering
• Network analysis
• Cluster analysis
• Probability distributions

Visual Interactive Neighborhood Mining on High Dimensional Data Emin Aksehirli • Bart Goethals •

Source URL: poloclub.gatech.edu

• Multivariate statistics
• Cluster analysis
• Data mining
• Geostatistics
• K-means clustering
• Hierarchical clustering
• Dimension reduction
• K-nearest neighbors algorithm
• Machine learning
• Multidimensional scaling
• Pattern recognition
• Nonlinear dimensionality reduction

figures/clust_result2.eps

Source URL: europa.informatik.uni-freiburg.de

• Machine learning
• Image segmentation
• Cluster analysis
• Scene graph
• Supervised learning
• Pattern recognition
• Planar graph
• Belief propagation
• Spectral clustering
• Directed graph
• Minimum spanning tree
• Segmentation-based object categorization

Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties Gerhard Visser Clayton School of I.T., Monash University, Clayton, Vic. 3168, Australia,

Source URL: www.csse.monash.edu.au