An efficient clustering algorithm based on searching popularity peaks
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10044-024-01261-4.pdf
Reference59 articles.
1. Rodriguez A, Laio A (2014) Clustering by fast search and find of density peaks. Science 344(6191):1492–1496
2. Ji X, Wang G, Deng W (2016) DenPEHC: density peak based efficient hierarchical clustering. Inf Sci 373:200–218
3. Hou J, Cui H (2017) Experimental evaluation of a density kernel in clustering. In: International conference on intelligent control & information processing, pp 55-59
4. Mehmood R, Zhang G, Bie R, Dawood H, Ahmad H (2016) Clustering by fast search and find of density peaks via heat diffusion. Neurocomputing 208:210–217
5. Zhou Z, Si G, Zhang Y, Zheng K (2018) Robust clustering by identifying the veins of clusters based on kernel density estimation. (Knowl Based Syst) Based Syst 159:309–320
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