For instance, “principal component analysis” (PCA), a popular dimensionality reduction algorithm, has found many useful applications to simplify machine learning problems.

ABSTRACT We describe the data reduction algorithms for the Multiband Imaging Photometer for Spitzer (MIPS). These algorithms were based on extensive preflight testing and modeling of the Si:As (24 μm) ...

These PRDs are (1) effective algorithms and tools that can be trusted by scientists for accuracy and efficiency, (2) progressive reduction algorithms that enable data to be prioritized for efficient ...