Journal of Machine Learning Research450 Submitted 11/07; Revised 11/09; Published 1/10 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting

Source URL: www.cs.stevens.edu

• Multivariate statistics
• Dimension reduction
• Computational statistics
• Machine learning
• Isomap
• Dimensionality reduction
• Nonlinear dimensionality reduction
• Semidefinite embedding
• Principal component analysis
• Tensor
• Manifold
• Multidimensional scaling

Interacting with Massive Behavioral Data Shih-Chieh Su Qualcomm IncMorehouse Drive San Diego, CAUSA

Source URL: poloclub.gatech.edu

• Multivariate statistics
• Multidimensional scaling
• Dimensionality reduction
• Isomap
• T-distributed stochastic neighbor embedding
• Principal component analysis
• Algorithm
• Data visualization
• Nonlinear dimensionality reduction

Scaling PDIA through Broad Agency

Source URL: bsc.cid.harvard.edu

• Psychometrics
• Market research
• Multivariate statistics
• Burkina Faso
• Economic Community of West African States
• Scaling
• Scale
• Sustainability
• Internal audit
• Multidimensional scaling
• Audit
• Change management

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

Scaling Multidimensional Gaussian Processes using Projected Additive Approximations Elad Gilboa Washington University, St. Louis, USA

Source URL: stat.columbia.edu

Data Visualization With Multidimensional Scaling Andreas B UJA, Deborah F. S WAYNE, Michael L. L ITTMAN, Nathaniel D EAN, Heike H OFMANN, and Lisha C HEN We discuss methodology for multidimensional scaling (MDS) and its

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

Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis Lisha CHEN and Andreas BUJA In the past decade there has been a resurgence of interest in nonlinear dimension reduct

Source URL: www.stat.yale.edu

Interactive Exploration of Larger Pattern Collections: A Case Study on a Cocktail Dataset

Source URL: poloclub.gatech.edu

• Multivariate statistics
• Statistics
• Dimension reduction
• Data mining
• Information
• Formal sciences
• Dimension
• Nonlinear dimensionality reduction
• Data analysis
• Principal component analysis
• Association rule learning
• Multidimensional scaling

Data Visualization with Multidimensional Scaling Andreas BUJA1 , Deborah F. SWAYNE2 , Michael L. LITTMAN3 , Nathaniel DEAN4 , Heike HOFMANN5 , Lisha CHEN6 . September 18, 2007

Source URL: www.stat.yale.edu

EigenSense: Saving User Effort with Active Metric Learning Eli T Brown Remco Chang

Source URL: poloclub.gatech.edu

• Machine learning
• Multivariate statistics
• K-nearest neighbors algorithm
• Active learning
• Eigenvalues and eigenvectors
• Cluster analysis
• Large margin nearest neighbor
• Recommender system
• K-means clustering
• Support vector machine
• Markov chain
• Multidimensional scaling