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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZW44Lb/cGwSS
Repositorydpi.inpe.br/ambro/1998/04.08.10.12
Last Update1998:05.25.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.54.50
Metadata Last Update2022:06.17.22.27.40 (UTC) administrator
ISBN85-244-0103-6
Citation KeySilvaTozz:1996:AlGeGe
TitleUm algoritmo geométrico para geração de funções discriminantes
FormatImpresso, On-line.
Year1996
Access Date2024, Apr. 25
Number of Files1
Size78 KiB
2. Context
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, MG, Brazil
Date29 Oct.-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
2022-06-17 22:27:40 :: administrator -> banon :: 1996
3. Content and structure
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
Arrangement 1urlib.net > Full Index > Um algoritmo geométrico...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 1996 > Sumário > Um algoritmo geométrico...
Arrangement 3urlib.net > SDLA > Fonds > SIBGRAPI 1996 > Sumário > Índice > Um algoritmo geométrico...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/cGwSS
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/cGwSS
Languagept
Target Filea01.pdf
User Groupadministrator
banon
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Next Higher Units8JMKD3MGPEW34M/4742MCS
8JMKD3MGPBW34M/3DRR7SB
8JMKD3MGPBW34M/3DRRJT5
Citing Item Listsid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume
7. Description control
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