Invention Grant
- Patent Title: Data clustering using analysis of multiple encoding techniques
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Application No.: US17506315Application Date: 2021-10-20
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Publication No.: US11921755B2Publication Date: 2024-03-05
- Inventor: Aaron K. Baughman , Kavitha Hassan Yogaraj , Sudeep Ghosh , Shikhar Kwatra
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Michael O'Keefe
- Main IPC: G06F16/28
- IPC: G06F16/28 ; G06F16/22 ; G06F18/21 ; G06F18/211 ; G06F18/231 ; G06N10/00

Abstract:
An embodiment includes building a hierarchical data structure using a hybrid hierarchical clustering process. The hybrid hierarchical clustering process comprises one or more iterations of a level-building process. An embodiment of the level-building process comprises building, by a classical processor, a first parent level of a current uppermost level of the hierarchical data structure by clustering classically-encoded clusters of the current uppermost level. The embodiment of the level-building process also comprises identifying, by a quantum processor, a set of candidate clustering options for clustering quantum-encoded clusters of the current uppermost level for a second parent level, including forming each of the set of candidate clustering options in parallel using respective different quantum encoding spaces. The embodiment of the level-building process also comprises building, by the classical processor, the second parent level based on a subset of the candidate clustering options.
Public/Granted literature
- US20230123240A1 DATA CLUSTERING USING ANALYSIS OF MULTIPLE ENCODING TECHNIQUES Public/Granted day:2023-04-20
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