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An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.

R. Soares, T. Ludermir, and F. de A. T. de Carvalho. ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 131-140. Springer, (2009)

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Univ. -Prof. Dr. Gerd de Bruyn University of Stuttgart

Anda Degeratu University of Stuttgart

Daniel Del Gaudio University of Stuttgart

Ph. D. Luiz de Oliveira Chamon University of Stuttgart

Lucienne Dettki University of Stuttgart

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Comparative study on proximity indices for cluster analysis of gene expression time series.I. Costa, F. de A. T. de Carvalho, and M. de Souto. Journal of Intelligent and Fuzzy Systems, 13 (2-4): 133-142 (2002)A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices.F. de A. T. de Carvalho, and E. Simões. BRACIS, page 180-185. IEEE, (2015)Clustering of multi-view relational data based on particle swarm optimization.R. de Gusmao, and F. de A. T. de Carvalho. Expert Syst. Appl., (2019)Fuzzy clustering of distributional data with automatic weighting of variable components.A. Irpino, R. Verde, and F. de A. T. de Carvalho. Inf. Sci., (2017)Kernel-based hard clustering methods in the feature space with automatic variable weighting.M. Ferreira, and F. de A. T. de Carvalho. Pattern Recognition, 47 (9): 3082-3095 (2014)Fuzzy c-means clustering methods for symbolic interval data.F. de A. T. de Carvalho. Pattern Recognition Letters, 28 (4): 423-437 (2007)Guest Editorial Special Issue on Granular/Symbolic Data Processing.S. Su, W. Pedrycz, T. Hong, and F. de A. T. de Carvalho. IEEE Trans. Cybernetics, 46 (2): 342-343 (2016)Multi-view Clustering on Relational Data.F. de A. T. de Carvalho, Y. Lechevallier, T. Despeyroux, and F. de Melo. EGC (best of volume), volume 527 of Studies in Computational Intelligence, page 37-51. Springer, (2012)A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.F. de A. T. de Carvalho, M. Ferreira, and E. Simões. ISNN, volume 9719 of Lecture Notes in Computer Science, page 393-400. Springer, (2016)Making Collaborative Group Recommendations Based on Modal Symbolic Data.S. de M. Queiroz, and F. de A. T. de Carvalho. SBIA, volume 3171 of Lecture Notes in Computer Science, page 307-316. Springer, (2004)