A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data
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DOI: 10.1109/tkde.2018.2842191
Abstract: Clustering large volumes of high-dimensional data is a challenging task. Many clustering algorithms have been developed to address either handling datasets with a very large sample size or with a very high number of dimensions,… read more here.
Keywords: large sample; dimensional data; high dimensional; clustering algorithm ... See more keywords
Application of 3D Inversion for Large Volumes of Magnetotelluric Data
Sign Up to like & getrecommendations! Published in 2019 at "Moscow University Geology Bulletin"
DOI: 10.3103/s0145875219060139
Abstract: Two applications of 3D inversion of magnetotelluric data using the Lomonosov supercomputer are discussed. The effectiveness of the chosen inversion approach for several real geological objects is demonstrated. Each object belongs to a different class… read more here.
Keywords: inversion; inversion large; large volumes; magnetotelluric data ... See more keywords