Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis †

Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis †

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 adapted towards distributed computing methodologies that leverage the underlying computat...

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Bibliographic Details
Main Authors: Carlos Dafonte, Daniel Garabato, Marco A. Álvarez, Minia Manteiga
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
remote sensing
computational astrophysics
distributed computing
fast self-organized maps
Apache Hadoop
Apache Spark
Online Access:http://www.mdpi.com/1424-8220/18/5/1419

Internet

http://www.mdpi.com/1424-8220/18/5/1419

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