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- W2122209504 abstract "Density-based clustering forms the clusters of densely gathered objects separated by sparse regions. In this paper, we survey the previous and recent density-based clustering algorithms. DBSCAN [6], OPTICS [1], and DENCLUE [5, 6] are previous representative density-based clustering algorithms. Several recent algorithms such as PDBSCAN [8], CUDA-DClust [3], and GSCAN [7] have been proposed to improve the performance of DBSCAN. They make the most of multi-core CPUs and GPUs." @default.
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- W2122209504 date "2014-01-01" @default.
- W2122209504 modified "2023-10-18" @default.
- W2122209504 title "A Survey on Density-Based Clustering Algorithms" @default.
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- W2122209504 doi "https://doi.org/10.1007/978-3-642-41671-2_98" @default.
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