R. C. D. Amorim

发表

Feature weighting for clustering: Using K-Means and the Minkowski metric

R. C. D. Amorim, 2012 .

A Median-Based Consensus Rule for Distance Exponent Selection in the Framework of Intelligent and Weighted Minkowski Clustering

B. Mirkin, V. Makarenkov, R. C. D. Amorim, 2017 .

Towards effective malware clustering : reducing false negatives through feature weighting and the Lp metric

Renato Cordeiro de Amorim, P. Komisarczuk, R. C. D. Amorim, 2014 .

Constrained clustering with Minkowski Weighted K-Means

Renato Cordeiro de Amorim, R. C. D. Amorim, 2012 .

A Survey on Feature Weighting Based K-Means Algorithms

Renato Cordeiro de Amorim, R. C. D. Amorim, 2015, Journal of Classification.

On Initializations for the Minkowski Weighted K-Means

Peter Komisarczuk, Renato Cordeiro de Amorim, P. Komisarczuk, 2012, IDA.

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

Renato Cordeiro de Amorim, Boris Mirkin, B. Mirkin, 2012, Pattern Recognit..

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

Boris G. Mirkin, Renato Cordeiro de Amorim, Vladimir Makarenkov, 2016, Inf. Sci..

Unsupervised feature selection for large data sets

Renato Cordeiro de Amorim, R. C. D. Amorim, 2019, Pattern Recognit. Lett..

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

Marcos Zampieri, Renato Cordeiro de Amorim, Marcos Zampieri, 2014, PolTAL.

Identifying meaningful clusters in malware data

Renato Cordeiro de Amorim, Carlos David Lopez Ruiz, R. C. D. Amorim, 2020, Expert Syst. Appl..

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

Renato Cordeiro de Amorim, Stiphen Chowdhury, R. C. D. Amorim, 2018, Advances in Intelligent Systems and Computing.

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

Boris G. Mirkin, Renato Cordeiro de Amorim, Vladimir Makarenkov, 2017, Pattern Recognit..

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

Renato Cordeiro de Amorim, Vladimir Makarenkov, V. Makarenkov, 2016, Neurocomputing.

Partitional Clustering of Malware Using K-Means

Peter Komisarczuk, Renato Cordeiro de Amorim, P. Komisarczuk, 2014, Cyberpatterns.

Effective Spell Checking Methods Using Clustering Algorithms

Marcos Zampieri, Renato Cordeiro de Amorim, Marcos Zampieri, 2013, RANLP.

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

Renato Cordeiro de Amorim, R. C. D. Amorim, 2012, MICAI.

On partitional clustering of malware

Peter Komisarczuk, Renato Cordeiro de Amorim, P. Komisarczuk, 2012 .

An extensive empirical comparison of k-means initialisation algorithms

R. C. D. Amorim, Simon Harris, R. C. De Amorim, 2022, IEEE Access.

Feature Relevance in Ward’s Hierarchical Clustering Using the Lp Norm

Renato Cordeiro de Amorim, R. C. D. Amorim, 2015, Journal of Classification.

Weighting Features for Partition around Medoids Using the Minkowski Metric

Trevor I. Fenner, Renato Cordeiro de Amorim, T. Fenner, 2012, IDA.

Core Clustering as a Tool for Tackling Noise in Cluster Labels

Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris Mirkin, 2019, J. Classif..

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

Christian Hennig, Renato Cordeiro de Amorim, C. Hennig, 2015, Inf. Sci..

A method for classifying mental tasks in the space of EEG transforms

John Q. Gan, Renato Cordeiro de Amorim, Boris Mirkin, 2009 .

Feature weighting in DBSCAN using reverse nearest neighbours

Renato Cordeiro de Amorim, N. Helian, R. C. D. Amorim, 2023, Pattern Recognit..

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, R. C. D. Amorim, 2009, Inf. Process. Manag..

Unified Transformer Multi-task Learning for Intent Classification with Entity Recognition

Shoaib Jameel, Reyhaneh Hashempour, Alberto José Benayas Álamos, 2021, IEEE Access.