A dimension range representation (DRR) measure for self-organizing maps-Reference-Cited by-同舟云学术

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A dimension range representation (DRR) measure for self-organizing maps

Published:2016-05 Issue: Volume:53 Page:276-286
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Clark Stephanie,Sisson Scott. A.,Sharma Ashish

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

1. Topographic Maps for Clustering and Data Visualization. Computational Intelligence: A Compendium;Fyfe,2008

2. Self-Organizing Maps’;Kohonen,2001

3. On the Use of Self-Organizing Maps for Clustering and Visualization. Principles of Data Mining and Knowledge Discovery;Flexer,1999

4. Topology-oriented self-organizing maps: a survey;Astudillo;Pattern Anal. Appl.,2014

5. Som-based data visualization methods;Vesanto;Intell. Data Anal.,1999

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1. Driver Liability Assessment in Vehicle Collisions in Spain;International Journal of Environmental Research and Public Health;2021-02-04

2. Tools for enhancing the application of self-organizing maps in water resources research and engineering;Advances in Water Resources;2020-09

3. Patterns and comparisons of human-induced changes in river flood impacts in cities;Hydrology and Earth System Sciences;2018-03-13

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