Research on the Parallelization of the DBSCAN Clustering Algorithm for Spatial Data Mining Based on the Spark Platform
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Research on the Parallelization of the DBSCAN Clustering Algorithm for Spatial Data Mining Based on the Spark Platform
Authors
Keywords
-
Journal
Remote Sensing
Volume 9, Issue 12, Pages 1301
Publisher
MDPI AG
Online
2017-12-13
DOI
10.3390/rs9121301
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Parallel compressive sampling matching pursuit algorithm for compressed sensing signal reconstruction with OpenCL
- (2017) Fang Huang et al. JOURNAL OF SYSTEMS ARCHITECTURE
- A data parallel approach to modelling and simulation of large crowd
- (2015) Tao Yu et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Fast and Scalable Multi-Way Analysis of Massive Neural Data
- (2015) Dan Chen et al. IEEE TRANSACTIONS ON COMPUTERS
- Solving the Global Atmospheric Equations through Heterogeneous Reconfigurable Platforms
- (2015) Lin Gan et al. ACM Transactions on Reconfigurable Technology and Systems
- A scalable and fast OPTICS for clustering trajectory big data
- (2014) Ze Deng et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing
- (2014) Alexander Agathos et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- M-FDBSCAN: A multicore density-based uncertain data clustering algorithm
- (2014) Atakan ERDEM et al. Turkish Journal of Electrical Engineering and Computer Sciences
- A scalable Helmholtz solver in GRAPES over large-scale multicore cluster
- (2013) Linfeng Li et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- DBCURE-MR: An efficient density-based clustering algorithm for large data using MapReduce
- (2013) Younghoon Kim et al. INFORMATION SYSTEMS
- MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data
- (2013) Yaobin He et al. Frontiers of Computer Science
- DDDAS-Based Parallel Simulation of Threat Management for Urban Water Distribution Systems
- (2012) Lizhe Wang et al. COMPUTING IN SCIENCE & ENGINEERING
- G-Hadoop: MapReduce across distributed data centers for data-intensive computing
- (2012) Lizhe Wang et al. Future Generation Computer Systems-The International Journal of eScience
- GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis
- (2012) S. Bernabe et al. IEEE Geoscience and Remote Sensing Letters
- GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia
- (2010) Dan Chen et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- MapReduce
- (2008) Jeffrey Dean et al. COMMUNICATIONS OF THE ACM
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started