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An efficient K-means clustering algorithm for tall data 

Capo, M.; Pérez, A.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2020)
The analysis of continously larger datasets is a task of major importance in a wide variety of scientific fields. Therefore, the development of efficient and parallel algorithms to perform such an analysis is a a crucial ...
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An efficient approximation to the K-means clustering for Massive Data 

Capo, M.; Pérez, A.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (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 ...
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An efficient approximation to the K-means clustering for Massive Data 

Capo, M.; Pérez, A.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (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 ...

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AuthorCapo, M. (3)
Lozano, J.A. (3)
Pérez, A. (3)
Subject
K-means++ (3)
clustering (2)K-means (2)minibatch K-means (2)Coresets (1)K-means problem (1)Lloyd's algorithm (1)Unsupervised learning (1)... másFecha2020 (1)2017 (1)2016 (1)

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