Traveling Salesman Problem (TSP)

Source URL: astro.temple.edu

• Operations research
• Travelling salesman problem
• Data analysis
• K-means clustering
• Data visualization
• Hierarchical clustering
• Mathematics
• Theoretical computer science
• Applied mathematics

A Course in Machine Learning Hal Daumé III 14 | E XPECTATION M AXIMIZATION

Source URL: ciml.info

• Machine learning
• Cluster analysis
• Expectation–maximization algorithm
• Missing data
• Maximum likelihood
• Mixture model
• K-means clustering
• Likelihood-ratio test
• Dimensional analysis
• Statistics
• Estimation theory
• Statistical theory

A Novel Bayesian Approach to Adaptive Mean Shift Segmentation of Brain Images Qaiser Mahmood, Artur Chodorowski, Andrew Mehnert, Mikael Persson Department of Signals and Systems, MedTech West, Chalmers University of Tech

Source URL: www.medtechwest.se

• Image processing
• Geostatistics
• Multivariate statistics
• K-nearest neighbor algorithm
• Kernel density estimation
• Segmentation
• Statistical classification
• K-means clustering
• Density estimation
• Statistics
• Non-parametric statistics
• Machine learning

Topic Extraction for Ontology Learning 1 Running head: TOPIC EXTRACTION FOR ONTOLOGY LEARNING Topic Extraction for Ontology Learning

Source URL: www.rizoiu.eu

• Machine learning
• Natural language processing
• Knowledge representation
• Cluster analysis
• Multivariate statistics
• K-means clustering
• WordNet
• Fuzzy clustering
• Terminology extraction
• Statistics
• Artificial intelligence
• Science

The Role of Geographical Context in Building Geodemographic Classifications Alexandros Alexiou1, Alexander Singleton1 1 Department of Geography and Planning, University of Liverpool

Source URL: leeds.gisruk.org

• Data analysis
• Multivariate statistics
• Cluster analysis
• Geodemography
• K-means clustering
• Mosaic
• Data mining
• Computer cluster
• Geographic information system
• Statistics
• Geostatistics
• Demography

Clustering based on Dissimilarity First Derivatives Ana Fred Telecommunications Institute Instituto Superior Tecnico, Lisbon, Portugal,

Source URL: www.lx.it.pt

• K-means clustering
• Single-linkage clustering
• Dendrogram
• Consensus clustering
• Fuzzy clustering
• Statistics
• Cluster analysis
• Hierarchical clustering

Context-Dependent Clustering based on Dissimilarity Increments Ana L. N. Fred Instituto de Telecomunicac¸o˜ es / Instituto Superior T´ecnico IST-Torre Norte, Av. Rovisco Pais, , Lisboa, Portugal Abstract –

Source URL: www.lx.it.pt

• Data mining
• Geostatistics
• Hierarchical clustering
• Single-linkage clustering
• K-means clustering
• Consensus clustering
• Complete-linkage clustering
• Statistics
• Cluster analysis
• Data analysis

5.6 Additional File 6: Initial Implemented OpenTox Algorithms Algorithm web services are key components of the overall OpenTox Framework and also important parts of Use Case-related implementations, as they are responsib

Source URL: jcheminf.com

• Computational statistics
• Data analysis
• Cheminformatics
• Multivariate statistics
• Formal sciences
• JOELib
• K-means clustering
• Feature selection
• Cluster analysis
• Statistics
• Machine learning
• Science

Microsoft Word - ACIIDS_2010.doc

Source URL: www.itu.dk

• Mathematical logic
• Theoretical computer science
• Subsequence
• K-means clustering
• Pi
• Gaussian function
• Mathematics
• Mathematical analysis
• Algorithm

Table 1. Rate constant for hydrogen molecule in v=0 and J=0-5 states. "" means 2.9050x10-29. T(K) v=0, J=0 v=0, J=1 v=0, J=2 v=0, J=3 v=0, J=4

Source URL: dpc.nifs.ac.jp