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Marco Capo
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An efficient approximation to the K-means clustering for massive data
M Capó, A Pérez, JA Lozano
Knowledge-Based Systems 117, 56-69, 2017
2442017
An efficient K-means clustering algorithm for tall data
M Capó, A Pérez, JA Lozano
Data mining and knowledge discovery 34, 776-811, 2020
522020
A Cheap Feature Selection Approach for the K-Means Algorithm
M Capó, A Pérez, JA Lozano
IEEE transactions on neural networks and learning systems 32 (5), 2195-2208, 2020
322020
An Efficient Split-Merge Re-Start for the -Means Algorithm
M Capó, A Pérez, JA Lozano
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1618-1627, 2020
302020
An efficient K-means clustering algorithm for massive data
M Capó, A Pérez, JA Lozano
arXiv preprint arXiv:1801.02949, 2018
252018
K-means for evolving data streams
A Bidaurrazaga, A Pérez, M Capó
2021 IEEE International Conference on Data Mining (ICDM), 1006-1011, 2021
52021
A recursive k-means initialization algorithm for massive data
M Capó, A Pérez, JA Lozano
Proceedings of the Spanish Association for Artificial Intelligence, 929-938, 2015
52015
Fast computation of cluster validity measures for bregman divergences and benefits
M Capó, A Pérez, JA Lozano
Pattern Recognition Letters 170, 100-105, 2023
22023
LASSO for streaming data with adaptative filtering
M Capó, A Pérez, JA Lozano
Statistics and Computing 33 (1), 5, 2023
22023
Fast -Medoids With the -Norm
M Capó, A Pérez, JA Lozano
IEEE Transactions on Artificial Intelligence, 2023
2023
Passive Approach for the K-means Problem on Streaming Data.
A Bidaurrazaga, A Pérez, M Capó
CoRR, 2020
2020
K-means for massive data
M Capo
2019
A distance saving approach to the K-means problem for massive data
M Capó, A Pérez, JA Lozano
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Artículos 1–13