Machine learning segmentation methods and systems

US11809499B2 · kind B2 · utility

Assignee

• Kinaxis Inc. · CA

Inventors

• Marcio Oliveira Almeida · Stanley Corners, CA
• Seyednaser Nourashrafeddin · Ottawa, CA
• Jean-François Dubeau · Ottawa, CA
• Ivy Blackmore · Ottawa, CA
• Zhen Lin · Carp, CA

Key dates

• Filing date: Apr 14, 2020
• Grant date: Nov 7, 2023
• Expiry date: Apr 14, 2040

Classification

• Technology area (CPC —): General

Abstract

Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.