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:
Jan. 03, 2023

Filed:

Jan. 15, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Maziyar Baran Pouyan, Emeryville, CA (US);

Yao A. Yang, San Francisco, CA (US);

Saeideh Shahrokh Esfahani, Mountain View, CA (US);

Andrew E. Fano, Lincolnshire, IL (US);

David William Vinson, San Francisco, CA (US);

Timothy M. Shea, Merced, CA (US);

Jesus Sanchez-Macias, Oakland, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6224 (2013.01); G06K 9/6223 (2013.01); G06K 9/6256 (2013.01); G06K 9/6269 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering data are disclosed. In one aspect, a method includes the actions of receiving feature vectors. The actions further include, for a subset of the feature vectors, accessing a first label. The actions further include generating a classifier that is configured to associate a given feature vector with a feature vector of the subset of the feature vectors. The actions further include applying the feature vectors that are not included in the subset of the feature vectors to the classifier. The actions further include generating a dissimilarity matrix. The actions further include, based on the dissimilarity matrix, generating a graph. The actions further include, for each node of the graph, determining a second label. The actions further include, based on the second labels and the first labels, determining a training label for each feature vector.


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