An efficient approximation to the K-means clustering for massive data M Capó, A Pérez, JA Lozano Knowledge-Based Systems 117, 56-69, 2017 | 248 | 2017 |
An efficient K-means clustering algorithm for tall data M Capó, A Pérez, JA Lozano Data mining and knowledge discovery 34, 776-811, 2020 | 53 | 2020 |
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 | 32 | 2020 |
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 | 31 | 2020 |
An efficient K-means clustering algorithm for massive data M Capó, A Pérez, JA Lozano arXiv preprint arXiv:1801.02949, 2018 | 25 | 2018 |
K-means for evolving data streams A Bidaurrazaga, A Pérez, M Capó 2021 IEEE International Conference on Data Mining (ICDM), 1006-1011, 2021 | 5 | 2021 |
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 | 5 | 2015 |
Fast computation of cluster validity measures for bregman divergences and benefits M Capó, A Pérez, JA Lozano Pattern Recognition Letters 170, 100-105, 2023 | 3 | 2023 |
LASSO for streaming data with adaptative filtering M Capó, A Pérez, JA Lozano Statistics and Computing 33 (1), 5, 2023 | 2 | 2023 |
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 | | |