Patent · US Active

Unsupervised high-dimensional behavioral data classifier

US10489707B2 · kind B2 · utility

1Cited by

2References

19Claims

0Family size

Assignee

The Regents of the University of California · US

Inventors

Christopher J. Hillar · San Francisco, US
Laurence Tecott · San Francisco, US

Key dates

Filing date	Mar 20, 2015
Grant date	Nov 26, 2019
Priority date	—
Expiry date	Sep 3, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG06F16/355
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods for classifying subjects and analyzing the relation between subject classification and multiple features of the subjects are provided. Some embodiments of the disclosure provide processes that use clustering analysis as an unsupervised machine learning technique to classify subjects based on multiple features. Some embodiments may associate features of the subjects with a categorical variable on which subject groups are based. This association between the features and the categorical variable of interest (or subject groups) can be obtained by finding featured-based clusters that have similar members as the subject groups. Systems and computer program products implementing the methods are also disclosed.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.