Invention Grant
- Patent Title: Systems and methods to improve data clustering using a meta-clustering model
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Application No.: US16503428Application Date: 2019-07-03
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Publication No.: US10671884B2Publication Date: 2020-06-02
- Inventor: Austin Walters , Jeremy Goodsitt , Anh Truong , Reza Farivar
- Applicant: CAPITAL ONE SERVICES, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06F17/15 ; G06N3/04

Abstract:
Systems and methods for clustering data are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data from a client device and generating preliminary clustered data based on the received data, using a plurality of embedding network layers. The operations may include generating a data map based on the preliminary clustered data using a meta-clustering model. The operations may include determining a number of clusters based on the data map using the meta-clustering model and generating final clustered data based on the number of clusters using the meta-clustering model. The operations may include and transmitting the final clustered data to the client device.
Public/Granted literature
- US20200012886A1 SYSTEMS AND METHODS TO IMPROVE DATA CLUSTERING USING A META-CLUSTERING MODEL Public/Granted day:2020-01-09
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