Invention Grant
- Patent Title: Creating a machine learning model with k-means clustering
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Application No.: US16843371Application Date: 2020-04-08
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Publication No.: US11544596B2Publication Date: 2023-01-03
- Inventor: Mingge Deng , Amir H. Hormati , Xi Cheng
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06N5/04 ; G06N20/00 ; G06F7/14 ; G06F16/29

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that creates a machine learning model with k-means clustering. In some implementations, an instruction to create a model is obtained. A data set including geographic data and non-geographic data is received. The data set includes multiple data entries. Geographic centroids are determined from the geographic data. The data set is analyzed to obtain statistics of the data set. Transformed data is generated from the data set, the statistics, and the geographic centroids. A model is generated with the transformed data, the model indicating multiple data groupings.
Public/Granted literature
- US20200320413A1 CREATING A MACHINE LEARNING MODEL WITH K-MEANS CLUSTERING Public/Granted day:2020-10-08
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