Invention Grant
- Patent Title: Data-dependent clustering of geospatial words
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Application No.: US14984397Application Date: 2015-12-30
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Publication No.: US09697245B1Publication Date: 2017-07-04
- Inventor: Christopher J. Butler , Qiang Chen , Bo Han
- 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: Cantor Colburn LLP
- Agent Louis Percello
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F17/30

Abstract:
Embodiments include method, systems and computer program products for data-dependent clustering of geospatial words. In some embodiments, a matrix of words and locations may be obtained. A plurality of locality-sensitive hash (LSH) functions may be generated. A plurality of sparse row vectors may be generated. A plurality of sparse LSH functions may be generated based on the plurality of LSH functions. A clustering bucket may be determined from a plurality of clustering buckets for each of the plurality of sparse row vectors using the sparse LSH functions.
Public/Granted literature
- US20170192972A1 DATA-DEPENDENT CLUSTERING OF GEOSPATIAL WORDS Public/Granted day:2017-07-06
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