Google PCA Patent for Large-Scale Data Processing
Summary
The USPTO granted Patent US12608444B2 to Google LLC for a method of automated selection of principal component analysis (PCA) variants for large-scale datasets. The patent covers receiving a PCA request, training a PCA model on input features, determining principal components, generating embedded features, and returning those features to the user. The patent was filed on July 29, 2022, under application number 17816288, with 14 claims.
What changed
Google LLC has been granted Patent US12608444B2 by the USPTO covering a method for automated selection of principal component analysis variants for large-scale datasets. The patent encompasses training a PCA model on input features, determining principal components, generating embedded features, and returning those features to the user.
Technology companies and data science practitioners developing large-scale data processing systems may wish to review this patent when designing PCA or dimensionality reduction workflows, as the automated variant selection technique is now protected IP. Competitors developing similar ML-based data processing methods should conduct freedom-to-operate analyses.
Archived snapshot
Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Automated selection of principal component analysis variants for large-scale datasets
Grant US12608444B2 Kind: B2 Apr 21, 2026
Assignee
Google LLC
Inventors
Xi Cheng, Mingge Deng, Amir Hossein Hormati
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.
CPC Classifications
G06F 18/2135 G06F 16/2433 G06F 16/7343 G06N 20/00 G06N 7/00 G06V 10/77 G05B 23/024 H04L 41/024
Filing Date
2022-07-29
Application No.
17816288
Claims
14
Mentioned entities
Parties
Related changes
Get daily alerts for USPTO Patent Grants - AI & Computing (G06N)
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from USPTO.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when USPTO Patent Grants - AI & Computing (G06N) publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.