Close
Metadata

Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier83LX3pFwXQZW44Lb/cGwSS
Repositorydpi.inpe.br/ambro/1998/04.08.10.12
Last Update1998:05.25.03.00.00 (UTC) administrator
Metadatasid.inpe.br/banon/2001/03.30.15.54.50
Metadata Last Update2013:04.19.14.14.52 (UTC) administrator
ISBN85-244-0103-6
Citation KeySilvaTozz:1996:AlGeGe
TitleUm algoritmo geométrico para geração de funções discriminantes
FormatImpresso, On-line.
Year1996
Access Date2021, Dec. 02
Number of Files1
Size78 KiB
Context area
Author1 Silva, José Ricardo Porto
2 Tozzi, Clésio Luis
EditorVelho, Luiz
Albuquerque, Arnaldo de
Lotufo, Roberto A.
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)
Conference LocationCaxambu
Date29 out. - 1 nov. 1996
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Pages31-38
Book TitleAnais
Tertiary TypeArtigo
OrganizationSBC - Sociedade Brasileira de Computação; UFMG - Universidade Federal de Minas Gerais
History (UTC)2008-07-17 14:17:54 :: administrator -> banon ::
2010-08-28 20:04:47 :: banon -> administrator ::
2013-04-05 16:31:14 :: administrator -> banon :: 1996
2013-04-05 16:49:51 :: banon -> administrator :: 1996
2013-04-19 14:14:52 :: administrator -> banon :: 1996
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscluster analysis
piecewise linear discriminant functions
pattern recognition
AbstractCluster analysis is a classification method which divides the pattern space into regions based on similary measure of the feature vectors. It is used for nonsupervised learning to further classification of inknown elements. There exist many clustering algorithms; in general they have limitations about clusters shape or demand the pre-definition of convergence parameters. This work presents a technique to quickly determine piecewise linear discriminant functions using geometric characteristics of subsets on the pattern space. Examples with synthetic and real data are included.
TypeReconhecimento de Padrões
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
Conditions of access and use area
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/cGwSS
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/cGwSS
Languagept
Target Filea01.pdf
User Groupadministrator
banon
Visibilityshown
Allied materials area
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
Empty Fieldsaccessionnumber affiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume
Description control area
e-Mail (login)banon
update 

Close