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:
Aug. 23, 2022

Filed:

Dec. 03, 2018
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Pankaj Panging, Frisco, TX (US);

Patrick N. Lawrence, Plano, TX (US);

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01); H04L 9/40 (2022.01); G06F 7/24 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6218 (2013.01); G06F 7/24 (2013.01); G06K 9/6272 (2013.01); G06N 20/00 (2019.01); H04L 63/1425 (2013.01);
Abstract

A device that includes a model training engine implemented by a processor. The model training engine is configured to obtain a set of data values associated with a feature vector. The model training engine is further configured to generate a set of gradients by dividing separation distances by an average separation distance and to compare each gradient to a gradient threshold value. The model training engine is further configured to identify a boundary in response to determining a gradient exceeds the gradient threshold value, to determine a number of identified boundaries, and to determine a number of clusters based on the number of identified boundaries. The model training engine is further configured to train the machine learning model to associate the determined number of clusters with the feature vector.


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