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K-means for Evolving Data Streams
Bidaurrazaga, A.
; Pérez, A.; Capó, M. (2021-01-01)
; Pérez, A.; Capó, M. (2021-01-01)
Nowadays, streaming data analysis has become a relevant area of research in machine learning. Most of the data streams available are unlabeled, and thus it is necessary to develop specific clustering techniques that take ...
An efficient approximation to the K-means clustering for Massive Data
Capo, M.; Pérez, A.; Lozano, J.A. (2017-02-01)
; Lozano, J.A. (2017-02-01)
Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ...
An efficient approximation to the K-means clustering for Massive Data
Capo, M.; Pérez, A.; Lozano, J.A. (2016-06-28)
; Lozano, J.A. (2016-06-28)
Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ...