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:
May. 07, 2024

Filed:

May. 15, 2019
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Jonathan Krasner, Coventry, RI (US);

Sweetesh Singh, Benares, IN;

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/30 (2018.01); G06F 18/23213 (2023.01); G06F 18/2413 (2023.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/30029 (2013.01); G06F 18/23213 (2023.01); G06F 18/24147 (2023.01); G06N 3/088 (2013.01);
Abstract

Disclosed are techniques for compressing data in a data storage system comprising searching a cluster of nearest neighbors, wherein the cluster has been created using a locality sensitive hashing algorithm, to determine if a data block can be compressed. In alternate embodiments, nearest neighbor clusters can be formed using unsupervised learning. Additionally, nearest neighbors can also be formed in alternate embodiments using one or more of the following algorithms: a k-means clustering algorithm, a k-medoids clustering algorithm, a mean shift algorithm, a generalized method of moment (GMM) algorithm, or a density based spatial clustering of applications with noise (DBSCAN) algorithm.


Find Patent Forward Citations

Loading…