DBSTC: an effective method for discovering cluster features with different spatiotemporal densities

Zhenhong Du; Yuhua Gu; Chuanrong Zhang; Feng Zhang; Renyi Liu; Jean Sequeira

doi:10.1080/17538947.2017.1338765

Journal Articles INTERNATIONAL JOURNAL OF DIGITAL EARTH Year : 2017

DBSTC: an effective method for discovering cluster features with different spatiotemporal densities

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1
2
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Zhenhong Du

Function : Author

Yuhua Gu

Function : Author

Chuanrong Zhang

Function : Author

Feng Zhang

Function : Author
PersonId : 761793
ORCID : 0000-0002-5039-2124

Cellectis Plant Sciences Inc.

Renyi Liu

Function : Author

Shanghai Center for Plant Stress Biology [CAS]

Jean Sequeira

Function : Author
PersonId : 11234
IdHAL : jean-sequeira
IdRef : 033236046

Laboratoire des Sciences de l'Information et des Systèmes

Domains

Computer Science [cs] Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV]

Sébastien MAVROMATIS : Connect in order to contact the contributor

https://hal-amu.archives-ouvertes.fr/hal-01773198

Submitted on : Friday, April 20, 2018-10:44:22 PM

Last modification on : Friday, March 24, 2023-2:53:07 PM

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hal-01773198 , version 1 (20-04-2018)

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HAL Id : hal-01773198 , version 1
DOI : 10.1080/17538947.2017.1338765

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Zhenhong Du, Yuhua Gu, Chuanrong Zhang, Feng Zhang, Renyi Liu, et al.. DBSTC: an effective method for discovering cluster features with different spatiotemporal densities. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2017, pp.1 - 26. ⟨10.1080/17538947.2017.1338765⟩. ⟨hal-01773198⟩

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DBSTC: an effective method for discovering cluster features with different spatiotemporal densities

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