Renato Cordeiro de Amorim

According to our database, Renato Cordeiro de Amorim authored at least 32 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation.

Andrei Rykov, Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin

IEEE Access, 2024

2023

On <i>k</i>-means iterations and Gaussian clusters.

Renato Cordeiro de Amorim, Vladimir Makarenkov

Neurocomputing, October, 2023

On Sum-Free Subsets of Abelian Groups.

Renato Cordeiro de Amorim

Axioms, August, 2023

Feature weighting in DBSCAN using reverse nearest neighbours.

Stiphen Chowdhury, Na Helian, Renato Cordeiro de Amorim

Pattern Recognit., May, 2023

2022

An Extensive Empirical Comparison of k-means Initialization Algorithms.

Simon Harris, Renato Cordeiro de Amorim

IEEE Access, 2022

2021

Identifying meaningful clusters in malware data.

Renato Cordeiro de Amorim, Carlos David Lopez Ruiz

Expert Syst. Appl., 2021

Improving cluster recovery with feature rescaling factors.

Renato Cordeiro de Amorim, Vladimir Makarenkov

Appl. Intell., 2021

Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition.

Alberto José Benayas Álamos, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro de Amorim

IEEE Access, 2021

2020

Core Clustering as a Tool for Tackling Noise in Cluster Labels.

Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin

J. Classif., 2020

2019

Unsupervised feature selection for large data sets.

Renato Cordeiro de Amorim

Pattern Recognit. Lett., 2019

2018

Feature weighting as a tool for unsupervised feature selection.

Deepak Panday, Renato Cordeiro de Amorim, Peter C. R. Lane

Inf. Process. Lett., 2018

An efficient density-based clustering algorithm using reverse nearest neighbour.

Stiphen Chowdhury, Renato Cordeiro de Amorim

CoRR, 2018

2017

The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning.

Renato Cordeiro de Amorim, Andrei Shestakov, Boris G. Mirkin, Vladimir Makarenkov

Pattern Recognit., 2017

2016

A-Ward_pβ: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation.

Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin

Inf. Sci., 2016

Applying subclustering and L_p distance in Weighted K-Means with distributed centroids.

Renato Cordeiro de Amorim, Vladimir Makarenkov

Neurocomputing, 2016

A Survey on Feature Weighting Based K-Means Algorithms.

Renato Cordeiro de Amorim

J. Classif., 2016

2015

Recovering the number of clusters in data sets with noise features using feature rescaling factors.

Renato Cordeiro de Amorim, Christian Hennig

Inf. Sci., 2015

Feature Relevance in Ward's Hierarchical Clustering Using the L p Norm.

Renato Cordeiro de Amorim

J. Classif., 2015

2014

Between Sound and Spelling: Combining Phonetics and Clustering Algorithms to Improve Target Word Recovery.

Marcos Zampieri, Renato Cordeiro de Amorim

Proceedings of the Advances in Natural Language Processing, 2014

Challenges in developing Capture-HPC exclusion lists.

Mohammad Puttaroo, Peter Komisarczuk, Renato Cordeiro de Amorim

Proceedings of the 7th International Conference on Security of Information and Networks, 2014

Partitional Clustering of Malware Using K-Means.

Renato Cordeiro de Amorim, Peter Komisarczuk

Proceedings of the Cyberpatterns, 2014

2013

Effective Spell Checking Methods Using Clustering Algorithms.

Renato Cordeiro de Amorim, Marcos Zampieri

Proceedings of the Recent Advances in Natural Language Processing, 2013

A Clustering-Based Approach to Reduce Feature Redundancy.

Renato Cordeiro de Amorim, Boris G. Mirkin

Proceedings of the Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions - Selected Papers from KICSS'2013, 2013

2012

Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering.

Renato Cordeiro de Amorim, Boris G. Mirkin

Pattern Recognit., 2012

Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results.

Renato Cordeiro de Amorim, Boris G. Mirkin, John Q. Gan

Artif. Intell. Res., 2012

An Empirical Evaluation of Different Initializations on the Number of K-Means Iterations.

Renato Cordeiro de Amorim

Proceedings of the Advances in Artificial Intelligence, 2012

On Initializations for the Minkowski Weighted K-Means.

Renato Cordeiro de Amorim, Peter Komisarczuk

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Weighting Features for Partition around Medoids Using the Minkowski Metric.

Renato Cordeiro de Amorim, Trevor I. Fenner

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2009

An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words.

Renato Cordeiro de Amorim

Proceedings of the Computer Recognition Systems 3, 2009

Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire: Successes and New Directions in Data Mining.

Renato Cordeiro de Amorim

Inf. Retr., 2009

Computational Methods of Feature Selection, Huan Liu, Hiroshi Motoda, CRC Press, Boca Raton, FL (2007), 440 pp, ISBN 978-1-58488-878-9

Renato Cordeiro de Amorim

Inf. Process. Manag., 2009

Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics.

Stefan Wermter, Renato Cordeiro de Amorim

Cogn. Syst. Res., 2009