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MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-65390-3_3

Authors: Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran

Institutions: IBM (United States), University of Connecticut

Language: English

Topic: Computational Geometry and Mesh Generation

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3046884679

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Cites: 18

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Related to: 10