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Manifold learning with iterative dimensionality photo-projection
Daniel Luckehe,
Stefan Oehmcke
, Oliver Kramer
2
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Keyphrases
Dimensionality Reduction
100%
Manifold Learning
100%
High-dimensional Data
50%
Depth Effect
50%
Two Dimensional
50%
Small Sets
50%
Matrix Rank
50%
Competitive Results
50%
Data-centric
50%
Reduction Approach
50%
Kruskal
50%
Benchmark Problems
50%
Iterative Procedure
50%
Working Mechanism
50%
Mathematics
Variance
100%
Dimensionality Reduction
100%
Manifold
100%
Dimensional Data
50%
Small Set
50%
Reduction Method
50%
Matrix (Mathematics)
50%
Computer Science
Manifold Learning
100%
Dimensionality Reduction
100%
Benchmark Problem
50%
High Dimensional Data
50%