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Izvorni znanstveni članak
https://doi.org/10.17559/TV-20191205093209
A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach
Jinlong Tian
; School of Computer Science and Engineering, Changchun University of Science and Technology, Changchun130022, China
Jianping Zhao*
; School of Computer Science and Engineering, Changchun University of Science and Technology, Changchun130022, China
Wei Zhou
; School of Computer Science and Engineering, Changchun University of Science and Technology, Changchun130022, China
Xuming Han
; College of Information Science Technology, Jinan University, Guangzhou, 510632, China
Limin Wang*
; School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, 510521, China
| Puni tekst: engleski, pdf (497 KB) | str. 1910-1916 | citiraj | |
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APA 6th Edition Tian, J., Zhao*, J., Zhou, W., Han, X. i Wang*, L. (2020). A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach. Tehnički vjesnik, 27 (6), 1910-1916. https://doi.org/10.17559/TV-20191205093209 MLA 8th Edition Tian, Jinlong, et al. "A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach." Tehnički vjesnik, vol. 27, br. 6, 2020, str. 1910-1916. https://doi.org/10.17559/TV-20191205093209. Citirano 23.01.2021. Chicago 17th Edition Tian, Jinlong, Jianping Zhao*, Wei Zhou, Xuming Han i Limin Wang*. "A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach." Tehnički vjesnik 27, br. 6 (2020): 1910-1916. https://doi.org/10.17559/TV-20191205093209 Harvard Tian, J., et al. (2020). 'A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach', Tehnički vjesnik, 27(6), str. 1910-1916. https://doi.org/10.17559/TV-20191205093209 Vancouver Tian J, Zhao* J, Zhou W, Han X, Wang* L. A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach. Tehnički vjesnik [Internet]. 2020 [pristupljeno 23.01.2021.];27(6):1910-1916. https://doi.org/10.17559/TV-20191205093209 IEEE J. Tian, J. Zhao*, W. Zhou, X. Han i L. Wang*, "A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach", Tehnički vjesnik, vol.27, br. 6, str. 1910-1916, 2020. [Online]. https://doi.org/10.17559/TV-20191205093209 |
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Sažetak
In view of the problem that the Density Peaks Clustering (DPC) algorithm needs to manually set the parameter cut-off distance (dc) we propose a Wolf Pack optimization theory based Density Peaks Clustering approach (WPA-DPC). Firstly, we introduce dc parameter into the Wolf Pack Algorithm (WPA) to speed up the search. Secondly, we introduce the WPA into the DPC algorithm; the cut-off distance is used as the location of the wolf group. Finally, we make silhouette index in the search process as the fitness value, and the optimal location of the wolf group is the parameter value at the end. The simulation results show that compared with the traditional Density Peaks Clustering algorithm, the proposed algorithm is closer to the true clustering number. According to the evaluation results of silhouette and f-measure, the quality of clustering and the accuracy are greatly improved.
Ključne riječi
cut-off distance; density peaks clustering; evaluation index; wolf pack algorithm
Hrčak ID: 248227
URI
https://hrcak.srce.hr/248227
Moj profil
Srce