13 citations · 14 across the 2 of their papers we have counts for
3 papers
stat.ML2020
K-means for Evolving Data Streams
Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
Currently the amount of data produced worldwide is increasing beyond measure, thus a high volume of unsupervised data must be processed continuously. One of the main unsupervised d…
stat.ML2018★ 13 cited
An efficient K -means clustering algorithm for massive data
Marco Capó, Aritz Pérez, Jose A. Lozano
The analysis of continously larger datasets is a task of major importance in a wide variety of scientific fields. In this sense, cluster analysis algorithms are a key element of ex…
stat.ML2016★ 1 cited
An efficient K-means algorithm for Massive Data
Marco Capó, Aritz Pérez, José Antonio Lozano
Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to ma- nipulate and analyze such information. Eve…