GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing-Reference-Cited by-同舟云学术

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GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing

Published:2018-07 Issue: Volume:109 Page:81-88
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Deng Chao^ORCID,Song Jinwei,Sun Ruizhi^ORCID,Cai Saihua,Shi Yinxue

Funder

Chinese Universities Scientific Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

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2. A public domain dataset for human activity recognition using smartphones[C];Anguita,2013

3. OPTICS: ordering points to identify the clus-tering structure[C];Ankerst,1999

4. Grid-based DBSCAN algorithm with referential parameters[J];Darong;Phys. Proc.,2012

5. A density-based algorithm for discovering clusters in large spatial databases with noise[C];Ester;Kdd,1996

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