Unsupervised pattern recognition models for mixed feature-type symbolic data

FAT de Carvalho, RMCR de Souza - Pattern Recognition Letters, 2010 - Elsevier
Unsupervised pattern recognition methods for mixed feature-type symbolic data based on
dynamical clustering methodology with adaptive distances are presented. These distances …
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[引用][C] Unsupervised pattern recognition models for mixed feature-type symbolic data

F DE AT DE CARVALHO… - Pattern recognition …, 2010 - pascal-francis.inist.fr
Unsupervised pattern recognition models for mixed feature-type symbolic data CNRS Inist
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …

Unsupervised pattern recognition models for mixed feature-type symbolic data

FAT de Carvalho, RMCR de Souza - Pattern Recognition Letters, 2010 - infona.pl
Unsupervised pattern recognition methods for mixed feature-type symbolic data based on
dynamical clustering methodology with adaptive distances are presented. These distances …

Unsupervised pattern recognition models for mixed feature-type symbolic data

FAT de Carvalho… - Pattern Recognition …, 2010 - ui.adsabs.harvard.edu
Unsupervised pattern recognition methods for mixed feature-type symbolic data based on
dynamical clustering methodology with adaptive distances are presented. These distances …

Unsupervised pattern recognition models for mixed feature-type symbolic data

FAT de Carvalho, RMCR de Souza - Pattern Recognition Letters, 2010 - dl.acm.org
Unsupervised pattern recognition methods for mixed feature-type symbolic data based on
dynamical clustering methodology with adaptive distances are presented. These distances …

[引用][C] Unsupervised pattern recognition models for mixed feature-type symbolic data

F DE AT DE CARVALHO, RMCR DE SOUZA - Pattern recognition letters, 2010 - Elsevier