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.

Bibliographic Details
Main Author: LINDEN, R.
Format: Article
Language:English
Published: Faculdade Salesiana Maria Auxiliadora 2009-12-01
Series:Sistemas de Informação
Subjects:
Online Access:http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Tutorial_en.pdf
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spelling 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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