Marco Capó

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Bregman Divergences

Clustering Algorithm

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Artif. Intell.

Publications

Marco Capó, Aritz Pérez, José Antonio Lozano
Fast $K$-Medoids With the $l_{1}$-Norm. IEEE Trans. Artif. Intell. 5 (4) (2024)
Marco Capó, Aritz Pérez, José Antonio Lozano
LASSO for streaming data with adaptative filtering. Stat. Comput. 33 (1) (2023)
Marco Capó, Aritz Pérez, José Antonio Lozano
Fast computation of cluster validity measures for bregman divergences and benefits. Pattern Recognit. Lett. 170 (2023)
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) (2022)
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) (2021)
Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
K-means for Evolving Data Streams. ICDM (2021)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov. 34 (3) (2020)
Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
Passive Approach for the K-means Problem on Streaming Data. CoRR (2020)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K -means clustering algorithm for massive data. CoRR (2018)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient approximation to the K-means clustering for massive data. Knowl. Based Syst. 117 (2017)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K-means algorithm for Massive Data. CoRR (2016)