2019
DOI: 10.1016/j.engappai.2019.07.015
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Clustering by finding prominent peaks in density space

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Cited by 22 publications
(16 citation statements)
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“…Discussion. Xie et al [39,40,44] manifest that the selection rule of dc provided in [38] cannot meet various…”
Section: Experimental Results and Analyses As Shown Inmentioning
confidence: 99%
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“…Discussion. Xie et al [39,40,44] manifest that the selection rule of dc provided in [38] cannot meet various…”
Section: Experimental Results and Analyses As Shown Inmentioning
confidence: 99%
“…We tested our algorithm and several related works, including PPC [ 44 ], DPC [ 38 ], DBSCAN [ 32 ], OPTICS [ 33 ], and AP [ 54 ], on several datasets. These datasets have different numbers of samples and stimulate different element distributions.…”
Section: Resultsmentioning
confidence: 99%
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“…Currently, there are numerous of clustering algorithms, among which density based clustering is one of the most popular algorithms, such as DPeak [6]- [9] algorithm and DBSCAN [10] algorithm. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm is a classical and one of the most important density based clustering algorithm.…”
Section: Introductionmentioning
confidence: 99%