Optimization of the learning rate in the algorithm for data visualization
In this paper, we discuss the visualization of multidimensional data. A well-known procedure for mapping data from a high-dimensional space onto a lower-dimensional one is Sammon‘s mapping. The paper describes an unsupervised backpropagation algorithm to train a multilayer feed-forward neural netwo...
Main Authors: | Viktor Medvedev, Gintautas Dzemyda |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2005-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/29205 |
Similar Items
-
Mapping error in the parallel realizations of SAMANN algorithm
by: Viktor Medvedev, et al.
Published: (2004-12-01) -
Strategies of minimization of Sammon's mapping error
by: Gintautas Dzemyda, et al.
Published: (2004-12-01) -
Sammon mapping for preliminary analysis in Hyperspectral Imagery
by: Nicolae APOSTOLESCU, et al.
Published: (2016-03-01) -
Evaluation of Mutual Information and Feature Selection for SARS-CoV-2 Respiratory Infection
by: Sekar Kidambi Raju, et al.
Published: (2023-07-01) -
Web application for large-scale multidimensional data visualization
by: Gintautas Dzemyda, et al.
Published: (2011-06-01)