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Marco Capó
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2020 – today
- 2024
- [j7]Marco Capó
, Aritz Pérez
, José Antonio Lozano:
Fast $K$-Medoids With the $l_{1}$-Norm. IEEE Trans. Artif. Intell. 5(4): 1769-1777 (2024) - 2023
- [j6]Marco Capó
, Aritz Pérez, José Antonio Lozano:
Fast computation of cluster validity measures for bregman divergences and benefits. Pattern Recognit. Lett. 170: 100-105 (2023) - [j5]Marco Capó
, Aritz Pérez, José Antonio Lozano:
LASSO for streaming data with adaptative filtering. Stat. Comput. 33(1): 5 (2023) - 2022
- [j4]Marco Capó
, Aritz Pérez
, José Antonio Lozano:
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm. IEEE Trans. Knowl. Data Eng. 34(4): 1618-1627 (2022) - 2021
- [j3]Marco Capó
, Aritz Pérez
, José Antonio Lozano:
A Cheap Feature Selection Approach for the K-Means Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2195-2208 (2021) - [c1]Arkaitz Bidaurrazaga
, Aritz Pérez, Marco Capó:
K-means for Evolving Data Streams. ICDM 2021: 1006-1011 - 2020
- [j2]Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov. 34(3): 776-811 (2020) - [i3]Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó:
Passive Approach for the K-means Problem on Streaming Data. CoRR abs/2012.03628 (2020)
2010 – 2019
- 2018
- [i2]Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient K -means clustering algorithm for massive data. CoRR abs/1801.02949 (2018) - 2017
- [j1]Marco Capó
, Aritz Pérez
, José Antonio Lozano:
An efficient approximation to the K-means clustering for massive data. Knowl. Based Syst. 117: 56-69 (2017) - 2016
- [i1]Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient K-means algorithm for Massive Data. CoRR abs/1605.02989 (2016)
Coauthor Index
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