Clustering interval-valued data with adaptive Euclidean and City-Block distances von Rizo Rodríguez, Sara Inés, Tenório de Carvalho, Francisco de Assis

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Self-organizing maps with adaptive distances for multiple dissimilarity matrices von Palomino Mariño, Laura Maria, Tenorio de Carvalho, Francisco de Assis

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A pattern classifier for interval-valued data based on multinomial logistic regression model von de Barros, Alberto Pereira, de Assis Tenorio de Carvalho, Francisco, de Andrade Lima Neto, Eufrasio

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Partitioning hard clustering algorithms based on multiple dissimilarity matrices von de Carvalho, Francisco de A.T., Lechevallier, Yves, de Melo, Filipe M.

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Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data von Rodríguez, Sara Inés Rizo, de Carvalho, Francisco de Assis Tenorio

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Nonlinear regression model to symbolic interval-valued variables von de Andrade Lima Neto, E., de Carvalho, F.

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Fuzzy clustering algorithms with distance metric learning and entropy regularization von Rodriguez, Sara Ines Rizo, de Carvalho, Francisco de Assis Tenorio

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Symbolic data analysis tools for recommendation systems von Leite Dantas Bezerra, Byron, Tenorio de Carvalho, Francisco de Assis

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A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices von de Assis Tenorio de Carvalho, Francisco, de Melo, Filipe M, Lechevallier, Yves

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A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance von Freksa, C, Kohlhase, Michael, Schill, Kerstin

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Fuzzy clustering algorithms with distance metric learning and entropy regularization von Sara Ines Rizo Rodriguez, Francisco de Assis Tenorio de Carvalho

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Adaptive-L2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{... von Cavalcanti, Nicomedes L., Ferreira, Marcelo Rodrigo Portela, Tenorio de Carvalho, Francisco de Assis

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