Skip to search formSkip to main contentSkip to account menu

Sammon mapping

Known as: Sammon's projection, Sammon's mapping, Sammon's stress 
Sammon mapping or Sammon projection is an algorithm that maps a high-dimensional space to a space of lower dimensionality (see multidimensional… 
Wikipedia (opens in a new tab)

Related topics

Related topics

5 relations
Bregman divergenceGradient descentMultidimensional scalingNonlinear dimensionality reduction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database
2016
2016
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines
2010
2010
Metric representations of data via the Kernel-based Sammon Mapping
In this paper we present a novel generalization of Sammon's Mapping (SM), which is a popular, metric multi-dimensional scaling… 
2009
2009
Selvennystä teknologisen Sammon rakentamiseen
Petri Pajun vastine Matti Lehtisen arvioon P. P.:n vaitoskirjasta (Arkhimedes 6/2008) ja M. L.:n kommentti vastineeseen. 
2000
2000
On the Initialisation of Sammon’s Nonlinear Mapping
The initialisation of a neural network implementation of Sammon’s mapping, either randomly or based on the principal components… 
2000
2000
Show Me What You Mean! Pariss: A CBIR-Interface that Learns by Example
We outline the architecture of a CBIR-interface that allows the user to interactively classify images by dragging and dropping… 
1998
1998
Visualization of transformed multivariate data sets with autoassociative neural networks
1983
1983
VLSI architectures for feature extraction and pattern classification
1983
1983
VLSI Computer Arithmetic for Real-Time Image Processing
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)