Renato Cordeiro de Amorim

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 21

Top Topics

Feature Weighting

Hierarchical Clustering

Nearest Neighbour

Top Venues

Publications

Andrei Rykov, Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation. IEEE Access 12 (2024)
Renato Cordeiro de Amorim, Vladimir Makarenkov
-means iterations and Gaussian clusters. Neurocomputing 553 (2023)
Renato Cordeiro de Amorim
On Sum-Free Subsets of Abelian Groups. Axioms 12 (8) (2023)
Stiphen Chowdhury, Na Helian, Renato Cordeiro de Amorim
Feature weighting in DBSCAN using reverse nearest neighbours. Pattern Recognit. 137 (2023)
Simon Harris, Renato Cordeiro de Amorim
An Extensive Empirical Comparison of k-means Initialization Algorithms. IEEE Access 10 (2022)
Renato Cordeiro de Amorim, Carlos David Lopez Ruiz
Identifying meaningful clusters in malware data. Expert Syst. Appl. 177 (2021)
Alberto José Benayas Álamos, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro de Amorim
Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition. IEEE Access 9 (2021)
Renato Cordeiro de Amorim, Vladimir Makarenkov
Improving cluster recovery with feature rescaling factors. Appl. Intell. 51 (8) (2021)
Renato Cordeiro de Amorim, Carlos David Lopez Ruiz
Identifying meaningful clusters in malware data. CoRR (2020)
Renato Cordeiro de Amorim, Vladimir Makarenkov
Improving cluster recovery with feature rescaling factors. CoRR (2020)
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
Core Clustering as a Tool for Tackling Noise in Cluster Labels. J. Classif. 37 (1) (2020)
Renato Cordeiro de Amorim
Unsupervised feature selection for large data sets. Pattern Recognit. Lett. 128 (2019)
Stiphen Chowdhury, Renato Cordeiro de Amorim
An efficient density-based clustering algorithm using reverse nearest neighbour. CoRR (2018)
Deepak Panday, Renato Cordeiro de Amorim, Peter Lane
Feature weighting as a tool for unsupervised feature selection. Inf. Process. Lett. 129 (2018)
Renato Cordeiro de Amorim, Andrei Shestakov, Boris G. Mirkin, Vladimir Makarenkov
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning. Pattern Recognit. 67 (2017)
Renato Cordeiro de Amorim
A survey on feature weighting based K-Means algorithms. CoRR (2016)
Renato Cordeiro de Amorim, Christian Hennig
Recovering the number of clusters in data sets with noise features using feature rescaling factors. CoRR (2016)
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation. Inf. Sci. (2016)
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris G. Mirkin
: Effective hierarchical clustering using the Minkowski metric and a fast k -means initialisation. CoRR (2016)
Renato Cordeiro de Amorim
A Survey on Feature Weighting Based K-Means Algorithms. J. Classif. 33 (2) (2016)
Renato Cordeiro de Amorim, Vladimir Makarenkov
distance in Weighted K-Means with distributed centroids. Neurocomputing 173 (2016)
Renato Cordeiro de Amorim
Feature Relevance in Ward's Hierarchical Clustering Using the L p Norm. J. Classif. 32 (1) (2015)
Renato Cordeiro de Amorim, Christian Hennig
Recovering the number of clusters in data sets with noise features using feature rescaling factors. Inf. Sci. 324 (2015)
Marcos Zampieri, Renato Cordeiro de Amorim
Between Sound and Spelling: Combining Phonetics and Clustering Algorithms to Improve Target Word Recovery. PolTAL (2014)
Mohammad Puttaroo, Peter Komisarczuk, Renato Cordeiro de Amorim
Challenges in developing Capture-HPC exclusion lists. SIN (2014)
Renato Cordeiro de Amorim, Boris G. Mirkin
A Clustering-Based Approach to Reduce Feature Redundancy. KICSS (2013)
Renato Cordeiro de Amorim, Marcos Zampieri
Effective Spell Checking Methods Using Clustering Algorithms. RANLP (2013)
Renato Cordeiro de Amorim, Boris G. Mirkin, John Q. Gan
Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results. Artif. Intell. Res. 1 (1) (2012)
Renato Cordeiro de Amorim, Trevor I. Fenner
Weighting Features for Partition around Medoids Using the Minkowski Metric. IDA (2012)
Renato Cordeiro de Amorim
An Empirical Evaluation of Different Initializations on the Number of K-Means Iterations. MICAI (1) (2012)
Renato Cordeiro de Amorim, Peter Komisarczuk
On Initializations for the Minkowski Weighted K-Means. IDA (2012)
Renato Cordeiro de Amorim, Boris G. Mirkin
Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering. Pattern Recognit. 45 (3) (2012)
Renato Cordeiro de Amorim
Computational Methods of Feature Selection, Huan Liu, Hiroshi Motoda, CRC Press, Boca Raton, FL (2007), 440 pp, ISBN 978-1-58488-878-9 Inf. Process. Manag. 45 (4) (2009)
Stefan Wermter, Renato Cordeiro de Amorim
Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics. Cogn. Syst. Res. 10 (4) (2009)
Renato Cordeiro de Amorim
Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire: Successes and New Directions in Data Mining. Inf. Retr. 12 (4) (2009)