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Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters
We consider some modifications of the neural gas algorithm. First, fuzzy assignments as known from fuzzy c-means and neighborhood cooperativeness as known from self-organizing maps and neural gas are combined to obtain a basic Fuzzy Neural Gas. Further, a kernel variant and a simulated annealing app...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876777/ https://www.ncbi.nlm.nih.gov/pubmed/24396342 http://dx.doi.org/10.1155/2013/165248 |
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author | Geweniger, Tina Fischer, Lydia Kaden, Marika Lange, Mandy Villmann, Thomas |
author_facet | Geweniger, Tina Fischer, Lydia Kaden, Marika Lange, Mandy Villmann, Thomas |
author_sort | Geweniger, Tina |
collection | PubMed |
description | We consider some modifications of the neural gas algorithm. First, fuzzy assignments as known from fuzzy c-means and neighborhood cooperativeness as known from self-organizing maps and neural gas are combined to obtain a basic Fuzzy Neural Gas. Further, a kernel variant and a simulated annealing approach are derived. Finally, we introduce a fuzzy extension of the ConnIndex to obtain an evaluation measure for clusterings based on fuzzy vector quantization. |
format | Online Article Text |
id | pubmed-3876777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38767772014-01-06 Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters Geweniger, Tina Fischer, Lydia Kaden, Marika Lange, Mandy Villmann, Thomas Comput Intell Neurosci Research Article We consider some modifications of the neural gas algorithm. First, fuzzy assignments as known from fuzzy c-means and neighborhood cooperativeness as known from self-organizing maps and neural gas are combined to obtain a basic Fuzzy Neural Gas. Further, a kernel variant and a simulated annealing approach are derived. Finally, we introduce a fuzzy extension of the ConnIndex to obtain an evaluation measure for clusterings based on fuzzy vector quantization. Hindawi Publishing Corporation 2013 2013-12-16 /pmc/articles/PMC3876777/ /pubmed/24396342 http://dx.doi.org/10.1155/2013/165248 Text en Copyright © 2013 Tina Geweniger et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Geweniger, Tina Fischer, Lydia Kaden, Marika Lange, Mandy Villmann, Thomas Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters |
title | Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters |
title_full | Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters |
title_fullStr | Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters |
title_full_unstemmed | Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters |
title_short | Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters |
title_sort | clustering by fuzzy neural gas and evaluation of fuzzy clusters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876777/ https://www.ncbi.nlm.nih.gov/pubmed/24396342 http://dx.doi.org/10.1155/2013/165248 |
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