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Fast Density-Based Clustering Using Graphics Processing Units
- Authors
- Loh, Woong-Kee; Moon, Yang-Sae; Park, Young-Ho
- Issue Date
- May-2014
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- density-based clustering; graphics processing units; grid structure
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E97D, no.5, pp 1349 - 1352
- Pages
- 4
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E97D
- Number
- 5
- Start Page
- 1349
- End Page
- 1352
- ISSN
- 1745-1361
- Abstract
- Due to the recent technical advances, GPUs are used for general applications as well as screen display. Many research results have been proposed to the performance of previous CPU-based algorithms by a few hundred times using the GPUs. In this paper, we propose a density-based clustering algorithm called GSCAN, which reduces the number of unnecessary distance computations using a grid structure. As a result of our experiments. GSCAN outperformed CUDA-DClust [2] and DBSCAN [3] by up to 13.9 and 32.6 times, respectively.
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