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Multidimensional scaling of noisy high dimensional data
Erez Peterfreund
*
,
Matan Gavish
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
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peer-review
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Scopus citations
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Dive into the research topics of 'Multidimensional scaling of noisy high dimensional data'. Together they form a unique fingerprint.
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Mathematics
Matrix (Mathematics)
100%
Higher Dimensions
100%
Eigenvalue
100%
Loss Function
100%
Explicit Formula
100%
Breakdown Point
100%
Dimensional Data
100%
Nonlinearity
100%
Keyphrases
Multidimensional Scaling
100%
High-dimensional Data
100%
Noise Level
9%
Asymptotically Optimal
9%
Nonlinearity
9%
High Dimension
9%
Eigenvalues
9%
Loss Function
9%
Low Dimension
9%
Noise Measurement
9%
Natural Losses
9%
Explicit Formula
9%
Similarity Matrix
9%
Optimal Shrinkage
9%
Dimension Measurement
9%
Data Noise
9%
Embedding Dimension
9%
Shrinkage Function
9%
Optimal Embeddings
9%
Data Dimensions
9%
Embedding Quality
9%
Ambient Measurement
9%
Ambient Noise Level
9%
Embedded Data
9%