US Patent Issued to Google on April 21 for "Automated selection of principal component analysis variants for large-scale datasets" (Washington Inventors)

ALEXANDRIA, Va., April 21 -- United States Patent no. 12,608,444, issued on April 21, was assigned to Google LLC (Mountain View, Calif.).

"Automated selection of principal component analysis variants for large-scale datasets" was invented by Xi Cheng (Kirkland, Wash.), Mingge Deng (Kirkland, Wash.) and Amir Hossein Hormati (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for principal component analysis includes receiving a principal component analysis (PCA) request from a user requesting data processing hardware to perform PCA on a dataset, the dataset including a plurality of input features. The method further includes training a PCA model on the plurality of input features of the dataset. ...