Autonomous Data Reduction for NASA Earth Science Data(NPO-45583-1)
data and image processing
Autonomous Data Reduction for NASA Earth Science Data
NASA atmospheric and Earth science missions generate vast amounts of data every day. Clustering algorithms are used in various applications including pattern recognition, classification, data compression, regression, and related optimization problems. The design implements a computational solution for an autonomous data-reduction/clustering process to produce a representative distribution and joint relationships of the data without assuming a specific type of distribution and relationship nor resorting to domain-specific knowledge about the data.
Notes: https://download.jpl.nasa.gov/ops/request/index.cfm, request software
This software is only available for use by federal employees and contractors to the federal government working on projects where this tool would be applicable.
Data and Image Processing
U.S. Government Purpose Release
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Jet Propulsion Laboratory