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Supervised Maximum Variance Unfolding
Deliang Yang
,
Houduo Qi
Department of Applied Mathematics
Research output
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Journal article publication
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Journal article
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Academic research
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peer-review
1
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Citation (Scopus)
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Computer Science
Multidimensional Scaling
100%
Optimization Problem
50%
Data Standard
50%
Data Structure
50%
Speed-up
50%
Dimensionality Reduction
50%
Data Classification
50%
Euclidean Distance
50%
Fast Algorithm
50%
Distance Matrix
50%
Scientific Visualization
50%
Keyphrases
Maximum Variance Unfolding
100%
Isomap
40%
Multidimensional Scaling
40%
T-distributed Stochastic Neighbor Embedding (t-SNE)
40%
Dimensionality Reduction
20%
Optimization Problem
20%
Fast Algorithm
20%
Local Data
20%
Paper-based
20%
Stress Function
20%
Nonlinear Dimensionality Reduction
20%
Data Classification
20%
Label Information
20%
Structure Preservation
20%
Data Visualization
20%
Euclidean Distance Matrix
20%
Matrix Optimization
20%
Majorization
20%
Popular
20%
Challenging Problems
20%
Crowd Phenomena
20%
One-dimensional Optimization
20%
Mathematics
Variance
100%
Dimensionality Reduction
16%
Majorization
16%
Euclidean Distance Matrix
16%
Fast Algorithm
16%
Data Structure
16%
Closed Form Solution
16%
Data Visualization
16%