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GUASOM: An Adaptive Visualization Tool for Unsupervised Clustering in Spectrophotometric Astronomical Surveys
(Springer, 2022)
[Abstract] We present an adaptive visualization tool for unsupervised classification of astronomical objects in a Big Data context such as the one found in the increasingly popular large spectrophotometric sky surveys. ...
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
(MDPI, 2018-11)
[Abstract]: Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must ...
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
(MDPI AG, 2018-05-03)
[Abstract] Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must be ...