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:
Mar. 24, 2020

Filed:

Mar. 14, 2016
Applicant:

Ayasdi Ai Llc, Menlo Park, CA (US);

Inventor:

Harlan Sexton, Palo Alto, CA (US);

Assignee:

Ayasdi AI LLC, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 16/26 (2019.01); G06T 11/20 (2006.01); G06F 16/28 (2019.01); G06F 16/2457 (2019.01); G06F 17/18 (2006.01); G06Q 10/00 (2012.01); G06K 9/62 (2006.01); G06F 16/00 (2019.01); G06F 16/904 (2019.01); G06F 16/955 (2019.01); G06F 16/35 (2019.01);
U.S. Cl.
CPC ...
G06F 16/26 (2019.01); G06F 16/00 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/287 (2019.01); G06F 16/35 (2019.01); G06F 16/904 (2019.01); G06F 16/955 (2019.01); G06F 17/18 (2013.01); G06K 9/6218 (2013.01); G06K 9/6253 (2013.01); G06Q 10/00 (2013.01); G06T 11/206 (2013.01);
Abstract

Autogrouping is described. An example method includes receiving a data set, building a first partition of subsets of the data set, computing a first subset score for each subset using a scoring function, generating a next partition including at least one subset that includes the elements of two or more subsets of the first partition, computing a second subset score for each subset of the next partition using the scoring function, defining a max score for each particular subset using a max score function, each max score being based on maximal subset scores of that particular subset and at least the subsets of the first partition related to that particular subset, selecting output subsets, selection of each of the output subsets being made using a maximum score of previously computed subset scores, and generating a report indicating an output partition, the output subsets being associated with the received data set.


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