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Dimensionality reduction

Known as: Dimension reduction, Reduction 
In machine learning and statistics, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under… 
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Related topics

Related topics

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Apache SparkAutoencoderBackpropagationBias–variance tradeoff

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Multi-view hypergraph learning by patch alignment framework
2012
2012
Forecasting trends of high-frequency KOSPI200 index data using learning classifiers
2011
2011
Statistical semantics for enhancing document clustering
Document clustering algorithms usually use vector space model (VSM) as their underlying model for document representation. VSM… 
2011
2011
Enhanced Sparse Imputation Techniques for a Robust Speech Recognition Front-End
Missing data techniques (MDTs) have been widely employed and shown to improve speech recognition results under noisy conditions… 
2010
2010
Classification by semi-supervised discriminative regularization
Highly Cited
2009
Highly Cited
2009
Extracting the optimal dimensionality for local tensor discriminant analysis
2006
2006
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem
Highly Cited
2002
Highly Cited
2002
A comparative analysis of basic pattern recognition techniques for the development of small size electronic nose
Highly Cited
1999
Highly Cited
1999
Relational discriminant analysis
Review
1980
Review
1980
Mapping algorithms in ispahan
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