Renato Cordeiro de Amorim
Renato Cordeiro de Amorim
Senior Lecturer in Computer Science and AI at the University of Essex
Verified email at - Homepage
Cited by
Cited by
Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering
RC de Amorim, B Mirkin
Pattern Recognition 45 (3), 1061–1075, 2012
Recovering the number of clusters in data sets with noise features using feature rescaling factors
RC De Amorim, C Hennig
Information sciences 324, 126-145, 2015
Feature relevance in Ward’s hierarchical clustering using the Lp norm
R Cordeiro de Amorim
Journal of Classification 32 (1), 46-62, 2015
A survey on feature weighting based K-Means algorithms
RC de Amorim
Journal of Classification 33 (2), 210-242, 2016
Feature weighting as a tool for unsupervised feature selection
D Panday, RC de Amorim, P Lane
Information processing letters 129, 44-52, 2018
On Initializations for the Minkowski Weighted K-Means
RC de Amorim, P Komisarczuk
Lecture Notes in Computer Science, 45--55, 2012
Applying subclustering and L p distance in Weighted K-Means with distributed centroids
RC de Amorim, V Makarenkov
Neurocomputing 173 (3), 700--707, 2016
Constrained Clustering with Minkowski Weighted K-Means
RC de Amorim
Proceedings of the 13th IEEE International Symposium on Computational …, 2012
Effective Spell Checking Methods Using Clustering Algorithms
RC de Amorim, M Zampieri
Recent Advances in Natural Language Processing, 172-178, 2013
Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge.
RC de Amorim
The Second International Conference on Advanced Engineering Computing and …, 2008
A-Wardpβ: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation
RC de Amorim, V Makarenkov, B Mirkin
Information Sciences 370, 343-354, 2016
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning
RC de Amorim, A Shestakov, B Mirkin, V Makarenkov
Pattern Recognition 67, 62-72, 2017
An Empirical Evaluation of Different Initializations on the Number of K-means Iterations
RC de Amorim
Lecture Notes in Computer Science 7629, 15-26, 2013
On partitional clustering of malware
RC de Amorim, P Komisarczuk
The First International Workshop on Cyber Patterns: Unifying Design Patterns …, 2012
Weighting features for Partition Around Medoids using the Minkowski metric
RC de Amorim, T Fenner
Lecture Notes in Computer Science, 35--44, 2012
Between Sound and Spelling: Combining Phonetics and Clustering Algorithms to Improve Target Word Recovery
M Zampieri, RC de Amorim
Proceedings of the 9th International Conference on Natural Language Processing, 2014
Learning feature weights for K-Means clustering using the Minkowski metric
RC de Amorim
Birkbeck, University of London, 2011
Anomalous pattern based clustering of mental tasks with subject independent learning–some preliminary results
RC de Amorim, B Mirkin, JQ Gan
Artificial Intelligence Research 1 (1), 46--54, 2012
Unsupervised feature selection for large data sets
RC de Amorim
Pattern Recognition Letters 128, 183-189, 2019
Challenges in developing Capture-HPC exclusion lists
M Puttaroo, P Komisarczuk, RC de Amorim
Proceedings of the 7th International Conference on Security of Information …, 2014
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