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:
Sep. 08, 2020

Filed:

Jun. 20, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Eric Bouillet, Englewood, NJ (US);

Bei Chen, Dublin, IE;

Randall L. Cogill, Dublin, IE;

Thanh L. Hoang, Kildare, IE;

Marco Laumanns, Zurich, DE;

Karol W. Lynch, Dublin, IE;

Rahul Nair, Dublin, IE;

Pascal Pompey, Nanterre, FR;

John Sheehan, Dublin, IE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/35 (2019.01); G06K 9/62 (2006.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/355 (2019.01); G06F 16/285 (2019.01); G06K 9/6218 (2013.01); G06F 16/35 (2019.01);
Abstract

Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.


Find Patent Forward Citations

Loading…