Bruno A. Pimentel

Jadson Crislan Santos Costa

Rafael de Amorim Silva

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

A hybrid algorithm for fuzzy clustering based on global and local membership degree.

[BibT_eX]

[DOI]

Jadson Crislan Santos Costa

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Kohonen map-wise regression applied to interval data.

[BibT_eX]

[DOI]

Leandro Carlos de Souza

Telmo de Menezes e Silva Filho

Knowl. Based Syst., 2021

2020

A Meta-learning approach for recommending the number of clusters for clustering algorithms.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Dynamic time series smoothing for symbolic interval data applied to neuroscience.

[BibT_eX]

[DOI]

Inf. Sci., 2020

2019

A new data characterization for selecting clustering algorithms using meta-learning.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Unsupervised Meta-Learning for Clustering Algorithm Recommendation.

[BibT_eX]

[DOI]

Rodrigo B. de C. Cavalcanti

Proceedings of the International Joint Conference on Neural Networks, 2019

A Multivariate Fuzzy Kohonen Clustering Network.

[BibT_eX]

[DOI]

Carlos Wilson Dantas de Almeida

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Generalized Multivariate Approach for Possibilistic Fuzzy C-Means Clustering.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Multivariate fuzzy k-modes algorithm.

[BibT_eX]

[DOI]

Diêgo B. M. Maciel

Getúlio J. A. Amaral

Pattern Anal. Appl., 2017

Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy.

[BibT_eX]

[DOI]

Marcilio C. P. de Souto

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Multivariate Fuzzy C-Means algorithms with weighting.

[BibT_eX]

[DOI]

Telmo de Menezes e Silva Filho

Neurocomputing, 2016

2015

Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization.

[BibT_eX]

[DOI]

Renata M. C. R. Souza

Adriano L. I. Oliveira

Expert Syst. Appl., 2015

Input space versus feature space in kernel-based interval fuzzy C-Means clustering.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Possibilistic Clustering Methods for Interval-Valued Data.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

2013

Clustering interval data through kernel-induced feature space.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2013

A multivariate fuzzy c-means method.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2013

2012

Possibilistic approach to clustering of interval data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production.

[BibT_eX]

[DOI]

Jarley Palmeira Nóbrega

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Kernel-based fuzzy clustering of interval data.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2011, 2011

A partitioning method for symbolic interval data based on kernelized metric.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

A kernel k-means clustering method for symbolic interval data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions.

[BibT_eX]

[DOI]