The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2026

Filed:

Jul. 29, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

XI Cheng, Kirkland, WA (US);

Mingge Deng, Kirkland, WA (US);

Amir Hossein Hormati, Seattle, WA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 18/2135 (2023.01); G06F 16/242 (2019.01); G06N 20/00 (2019.01); G05B 23/02 (2006.01); G06F 16/732 (2019.01); G06N 7/00 (2023.01); G06V 10/77 (2022.01); H04L 41/02 (2022.01);
U.S. Cl.
CPC ...
G06F 18/2135 (2023.01); G06F 16/2433 (2019.01); G06N 20/00 (2019.01); G05B 23/024 (2013.01); G06F 16/7343 (2019.01); G06N 7/00 (2013.01); G06V 10/77 (2022.01); H04L 41/024 (2013.01);
Abstract

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. The method includes determining, using the trained PCA model, one or more principal components of the dataset. The method also includes generating, based on the plurality of input features and the one or more principal components, one or more embedded features of the dataset. The method includes returning the one or more embedded features to the user.


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