Zobrazeno 1 - 10
of 843
pro vyhledávání: '"density peaks"'
Publikováno v:
IEEE Access, Vol 12, Pp 76413-76431 (2024)
The Clustering by Fast Search and Find of Density Peaks (DPC) algorithm is a clustering method that automatically identifies clustering centers based on density and relative distance. It has several advantages, including the ability to identify arbit
Externí odkaz:
https://doaj.org/article/63206b6338e24fa68e532d7ef0a65c9b
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9977 (2024)
The phases of high-entropy alloys (HEAs) are crucial to their material properties. Although meta-learning can recommend a desirable algorithm for materials designers, it does not utilize the optimal solution information of similar historical problems
Externí odkaz:
https://doaj.org/article/ac4b99fcd4f44178a5423ae13fb1fd1b
Publikováno v:
Sensors, Vol 24, Iss 17, p 5693 (2024)
This work focuses on the improvement of the density peaks clustering (DPC) algorithm and its application to point cloud segmentation in LiDAR. The improvement of DPC focuses on avoiding the manual determination of the cut-off distance and the manual
Externí odkaz:
https://doaj.org/article/893563eb860044e1bd9328b454d296d4
Autor:
WANG Weina, ZHU Yu, REN Yan
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 8, Pp 1879-1892 (2023)
When the density peaks algorithm deals with datasets with different densities, the wrong center points may be selected, and the problem of associated errors may occur in the sample allocation process. To solve the above problems, a density peaks clus
Externí odkaz:
https://doaj.org/article/b24324d757c840adb06f5709a5e0a6c6
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 3, Pp 102002- (2024)
Density-peak clustering (DPC) is a novel clustering algorithm that has received much attention from researchers. Its principle is to identify the cluster center of the data by density and distance. However, the density-peak clustering algorithm still
Externí odkaz:
https://doaj.org/article/a53c0d172f344168891330f9cdc01473
Akademický článek
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Publikováno v:
IEEE Access, Vol 11, Pp 105499-105512 (2023)
When it comes to disaster rescue, quickly and accurately locating the trapped people will not miss the golden rescue time, thereby improving the success rate of rescue. The existing research has focused on the use of unmanned aerial vehicles (UAVs) t
Externí odkaz:
https://doaj.org/article/f6db664aac294ddeb736efdb52a503ab
Publikováno v:
IEEE Access, Vol 11, Pp 57158-57173 (2023)
Density peak clustering (DPC) the center selection ignores the environment of samples, which can easily result in the incorrect identification of cluster centers. Additionally, a single allocation approach can easily produce the joint effect of alloc
Externí odkaz:
https://doaj.org/article/b451ce9a97a84ac681839c2504e13c05
Publikováno v:
电力工程技术, Vol 42, Iss 1, Pp 185-192 (2023)
There are problems such as building occlusion and electromagnetic interference in substations, which lead to a rapid decline in the accuracy of traditional personnel control methods based on electromagnetic wave positioning. In order to avoid the red
Externí odkaz:
https://doaj.org/article/c77478c218f948169e83fc08d47af8d8
Autor:
DUAN Xiao-hu, CAO Fu-yuan
Publikováno v:
Jisuanji kexue, Vol 49, Iss 12, Pp 170-177 (2022)
In order to detect overlapping community structures in complex networks,the idea of density peaks clustering algorithm is introduced.However,applying the density peaks clustering algorithm to community detection still has problems such as how to meas
Externí odkaz:
https://doaj.org/article/afb1b4473d6d44c7bcc1c96ef67571a8