Clustering Techniques
This tutorial describes clustering methods that allow for the extraction of interesting characteristics directly from the data, separating them into functional groups or inserting them into a hierarchy, for further study.
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Faculdade Salesiana Maria Auxiliadora
2009-12-01
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Series: | Sistemas de Informação |
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Online Access: | http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Tutorial_en.pdf |
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doaj-c0a84def827648e9afbc98e0813d892d2020-11-24T23:47:47ZengFaculdade Salesiana Maria AuxiliadoraSistemas de Informação 1983-56042009-12-0141836Clustering TechniquesLINDEN, R.This tutorial describes clustering methods that allow for the extraction of interesting characteristics directly from the data, separating them into functional groups or inserting them into a hierarchy, for further study.http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Tutorial_en.pdfClusteringHeuristicsK-MeansNeural NetworksGraphs |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
LINDEN, R. |
spellingShingle |
LINDEN, R. Clustering Techniques Sistemas de Informação Clustering Heuristics K-Means Neural Networks Graphs |
author_facet |
LINDEN, R. |
author_sort |
LINDEN, R. |
title |
Clustering Techniques |
title_short |
Clustering Techniques |
title_full |
Clustering Techniques |
title_fullStr |
Clustering Techniques |
title_full_unstemmed |
Clustering Techniques |
title_sort |
clustering techniques |
publisher |
Faculdade Salesiana Maria Auxiliadora |
series |
Sistemas de Informação |
issn |
1983-5604 |
publishDate |
2009-12-01 |
description |
This tutorial describes clustering methods that allow for the extraction of interesting characteristics directly from the data, separating them into functional groups or inserting them into a hierarchy, for further study. |
topic |
Clustering Heuristics K-Means Neural Networks Graphs |
url |
http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Tutorial_en.pdf |
work_keys_str_mv |
AT lindenr clusteringtechniques |
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