AN EFFICIENT CLUSTERING METHOD FOR DBSCAN GEOGRAPHIC SPATIO-TEMPORAL LARGE DATA WITH IMPROVED PARAMETER OPTIMIZATION

AN EFFICIENT CLUSTERING METHOD FOR DBSCAN GEOGRAPHIC SPATIO-TEMPORAL LARGE DATA WITH IMPROVED PARAMETER OPTIMIZATION

How to establish an effective method of large data analysis of geographic space-time and quickly and accurately find the hidden value behind geographic information has become a current research focus. Researchers have found that clustering analysis methods in data mining field can well mine knowledg...

Full description

Bibliographic Details
Main Authors:	J. W. Li, X. Q. Han, J. W. Jiang, Y. Hu, L. Liu
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-02-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/581/2020/isprs-archives-XLII-3-W10-581-2020.pdf

Similar Items

RESEARCH ON CONSTRUCTION METHOD OF SPATIO-TEMPORAL DATA MODEL BASED ON BEHAVIOR-EVENT
by: J. W. Li, et al.
Published: (2020-02-01)

CONSTRUCTION METHOD OF “CELL-CUBE” SPATIO-TEMPORAL DATA MODEL FOR BIG DATA
by: Y. L. Lu, et al.
Published: (2020-02-01)

DBSCAN OPTIMIZATION FOR IMPROVING MARINE TRAJECTORY CLUSTERING AND ANOMALY DETECTION
by: X. Han, et al.
Published: (2020-08-01)

STRP-DBSCAN: A Parallel DBSCAN Algorithm Based on Spatial-Temporal Random Partitioning for Clustering Trajectory Data
by: Xiaoya An, et al.
Published: (2023-10-01)

RESEARCH ON BEHAVIORAL MOTIVATION INFERENCE METHOD FOR GEOGRAPHICAL SPATIOTEMPORAL LARGE DATA
by: J. W. Li, et al.
Published: (2020-02-01)

IMAGE FAST DEHAZING ALGORITHM BASED ON DARK CHANNEL PRIOR IMPROVEMENT
by: J. W. Li, et al.
Published: (2020-02-01)

An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering
by: Hua Zhang, et al.
Published: (2022-01-01)

A NEW CLOUD-EDGE-TERMINAL RESOURCES COLLABORATIVE SCHEDULING FRAMEWORK FOR MULTI-LEVEL VISUALIZATION TASKS OF LARGE-SCALE SPATIO-TEMPORAL DATA
by: X. M. Li, et al.
Published: (2020-08-01)

Laser Radar Data Registration Algorithm Based on DBSCAN Clustering
by: Yiting Liu, et al.
Published: (2023-03-01)

CLUSTERING-BASED APPROACHES TO THE EXPLORATION OF SPATIO-TEMPORAL DATA
by: X. Wu, et al.
Published: (2017-09-01)

Tree Skeletonization with DBSCAN Clustering Using Terrestrial Laser Scanning Data
by: Lei You, et al.
Published: (2023-07-01)

Superpixel Generation for SAR Imagery Based on Fast DBSCAN Clustering With Edge Penalty
by: Liang Zhang, et al.
Published: (2022-01-01)

dbscan: Fast Density-Based Clustering with R
by: Michael Hahsler, et al.
Published: (2019-10-01)

Improving the performance of the FCM algorithm in clustering using the DBSCAN algorithm
by: S. Barkhordari Firozabadi, et al.
Published: (2023-12-01)

CHARACTERISTICS OF HUMAN ACTIVITY IN CHINA’S COASTAL ZONE BASED ON MULTI-SOURCE SPATIO-TEMPORAL DATA
by: Y. Gao, et al.
Published: (2022-05-01)

VISUALIZATION OF SPATIO-TEMPORAL RELATIONS IN MOVEMENT EVENT USING MULTI-VIEW
by: K. Zheng, et al.
Published: (2017-09-01)

Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
by: Mingyang Wang, et al.
Published: (2022-03-01)

WOA-DBSCAN: Application of Whale Optimization Algorithm in DBSCAN Parameter Adaption
by: Xinliang Zhang, et al.
Published: (2023-01-01)

THE RECONSTRUCTION OF NDVI TIME SERIES USING SPATIO-TEMPORAL INFORMATION
by: L. Xu, et al.
Published: (2020-08-01)

Trajectory dimensionality reduction and hyperparameter settings of DBSCAN for trajectory clustering
by: Xiaohong Yu, et al.
Published: (2022-05-01)

A MapReduce-based improvement algorithm for DBSCAN
by: Xiaojuan Hu, et al.
Published: (2018-03-01)

SPATIO-TEMPORAL CHARACTERISTICS OF RESIDENT TRIP BASED ON POI AND OD DATA OF FLOAT CAR IN BEIJING
by: N. Mou, et al.
Published: (2017-09-01)

Research on Alarm Log Clustering Based on DBSCAN Algorithm
by: Cuiyan DENG, et al.
Published: (2021-01-01)

Clustering Indoor Positioning Data Using E-DBSCAN
by: Dayu Cheng, et al.
Published: (2021-10-01)

Crowdsourcing Logistics Pricing Optimization Model Based on DBSCAN Clustering Algorithm
by: Zhichao Li, et al.
Published: (2020-01-01)

DP-MCDBSCAN: Differential Privacy Preserving Multi-Core DBSCAN Clustering for Network User Data
by: Lina Ni, et al.
Published: (2018-01-01)

Self-supervised video representation learning by uncovering spatio-temporal statistics
by: Wang, J, et al.
Published: (2021)

Geographic information system based spatio-temporal dengue fever cluster analysis and mapping
by: Shuchi Mala, et al.
Published: (2019-12-01)

VIEW GRAPH CONSTRUCTION FOR LARGE-SCALE UAV IMAGES: AN EVALUATION OF STATE-OF-THE-ART METHODS
by: J. Liu, et al.
Published: (2023-12-01)

Dominant partitioning method of rock mass discontinuity based on DBSCAN selective clustering ensemble
by: ZHANG Hua-jin, et al.
Published: (2022-06-01)

Spatio-temporal variations in global surface soil moisture based on multiple datasets: intercomparison and climate drivers
by: Guan, Y, et al.
Published: (2023)

A spatio-temporal cluster analysis of structurally deficient bridges in the contiguous USA
by: R.W. Amin, et al.
Published: (2020-11-01)

Clustering of Human Hand on Depth Image using DBSCAN Method
by: Ervin Yohannes, et al.
Published: (2019-09-01)

CLUSTERING OF LOCALIZED ACOUSTIC EMISSION SOURCES BY THE DBSCAN ALGORITHM IN SEPARATORS
by: Pavel Makarikhin, et al.
Published: (2023-09-01)

GrDBSCAN: A Granular Density–Based Clustering Algorithm
by: Suchy Dawid, et al.
Published: (2023-06-01)

Implementasi Metode Clustering DBSCAN pada Proses Pengambilan Keputusan
by: Anindya Santika Devi, et al.
Published: (2015-12-01)

Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning
by: Miao Tian, et al.
Published: (2023-09-01)

A generalized Spatio-Temporal Threshold Clustering method for identification of extreme event patterns
by: V. Kholodovsky, et al.
Published: (2021-04-01)

Urban flood risk assessment based on DBSCAN and K-means clustering algorithm
by: Jianwei Li, et al.
Published: (2023-12-01)

Spatio-temporal clustering of dengue incidence
by: Nik Nur Fatin Fatihah Sapri, et al.
Published: (2021)