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Title El blog de Jesús
Description Evaluation of Clustering Algorithms on HPC El blog de Jesús Soto Curriculum MOOC Contacto Evaluation of Clustering Algorithms on HPC Platforms Por Jesús Soto / Oct 05, 2021 / investigación Cebrian
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Última actualización: 2022-09-28 00:58:24

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El blog de Jesús Soto Curriculum MOOC Contacto Evaluation of Clustering Algorithms on HPC Platforms Por Jesús Soto / Oct 05, 2021 / investigación Cebrian JM, Imbernón B, Soto J, Cecilia JM. Evaluation of Clustering Algorithms on HPC Platforms. Mathematics [Internet] 2021;9:2156. Available from: http://dx.doi.org/10.3390/math9172156 Clustering algorithms are one of the most widely used kernels to generate knowledge from large datasets. These algorithms group a set of data elements (i.e., images, points, patterns, etc.) into clusters to identify patterns or common features of a sample. However, these algorithms are very computationally expensive as they often involve the computation of expensive fitness functions that must be evaluated for all points in the dataset. This computational cost is even higher for fuzzy methods, where each data point may belong to more than one cluster. In this paper, we evaluate different parallelisation strategies on different heterogeneous platforms for
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