Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

49 relations
Apache SparkAutoencoderBackpropagationBias–variance tradeoff

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Information filtering by similarity-preferential diffusion processes
Recommender systems provide a promising way to address the information overload problem which is common in online systems. Based… 
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… 
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
Wavelet based discriminant analysis for face recognition
2006
2006
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem
2006
2006
A comparison of acoustic coding models for speech-driven facial animation
Highly Cited
2002
Highly Cited
2002
A comparative analysis of basic pattern recognition techniques for the development of small size electronic nose
Review
1980
Review
1980
Mapping algorithms in ispahan
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)