Suchergebnisse - "Density peak clustering algorithm"

VDPC: Variational density peak clustering algorithm von Wang, Yizhang, Wang, Di, Zhou, You, Zhang, Xiaofeng, Quek, Chai

“… The widely applied density peak clustering (DPC) algorithm makes an intuitive cluster formation assumption that cluster centers are often surrounded by data …”
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REDPC: A residual error-based density peak clustering algorithm von Parmar, Milan, Wang, Di, Zhang, Xiaofeng, Tan, Ah-Hwee, Miao, Chunyan, Jiang, Jianhua, Zhou, You

“… In this paper, we propose a residual error-based density peak clustering algorithm named REDPC to better handle datasets comprising various data distribution patterns …”
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SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithm von Xie, Juanying, Liu, Xinglin, Wang, Mingzhao

“… DPC (Clustering by fast search and find of Density Peaks) algorithm and its variations typically employ Euclidean distance, overlooking the diverse …”
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An improved density peak clustering algorithm guided by pseudo labels von Wang, Yizhang, Pang, Wei, Zhou, Jingchu

“… Density peak clustering algorithms and their variants have achieved promising results in many fields over the last few years …”
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An Improved Density Peak Clustering Algorithm for Multi-Density Data von Yin, Lifeng, Wang, Yingfeng, Chen, Huayue, Deng, Wu

“… In view of the above problems, in order to achieve better clustering of multi-density data, this paper improves the density peak clustering algorithm …”
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Quantum Density Peak Clustering Algorithm von Wu, Zhihao, Song, Tingting, Zhang, Yanbing

“… A widely used clustering algorithm, density peak clustering (DPC), assigns different attribute values to data points through the distance between data points, …”
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Few-Shot Unsupervised Specific Emitter Identification Based on Density Peak Clustering Algorithm and Meta-Learning von Xie, Cunxiang, Zhang, Limin, Zhong, Zhaogen

“… Deep-learning methods are becoming increasingly popular for improving the efficiency of specific emitter identification (SEI). However, in noncooperative …”
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Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm von Meng, Niu

“… ) in adaptive neural network and the density peak clustering algorithm. The method achieves topological mapping learning of color features through SOM, and then uses DPC …”
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Density peak clustering algorithm based on boundary elimination and backbone construction von Zhao, Zhizhong, Chen, Sugen, Hu, Cong

“… affected by the intersection points between clusters. To solve these problems, in this paper, we propose a novel density peak clustering algorithm based on boundary elimination and backbone construction, called BEBC-DPC …”
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Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks von Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Niu, Xinxin, Yang, Yixian

“… In this paper, we propose a fuzzy aggregation approach using the modified density peak clustering algorithm (MDPCA …”
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Low-latency intelligent service combination caching strategy with density peak clustering algorithm in vehicle edge computing von Chen, Yishan, Ye, Shumei, Wu, Jie, Li, Wei, Wang, Jiyuan

“… In the dynamic field of Vehicle Edge Computing (VEC), the demand for intelligent vehicular systems to process vast amounts of data is escalating, driven by …”
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Using improved density peak clustering algorithm for flower cluster identification and apple central and peripheral flower detection von Geng, Mingyang, Shang, Yuying, Xiang, Shiyu, Wang, Jiachen, Wang, Lei, Song, Huaibo

“… •A method for apple flowers recognition based on YOLOv8n model was proposed.•An improved Single-Layer DPC algorithm was used to automatically determine …”
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Adaptive density peak clustering algorithm combined with sparse search von Ma, Weiyuan, Duan, Baobin, Wei, Ping

“… With the advantages of few parameters and the ability to deal with clusters of arbitrary shape, the density peak clustering algorithm has attracted wide attention since it came …”
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A privacy‐preserving density peak clustering algorithm in cloud computing von Sun, Liping, Ci, Shang, Liu, Xiaoqing, Zheng, Xiaoyao, Yu, Qingying, Luo, Yonglong

“… Summary Aiming at preventing the privacy disclosure of sensitive information, issues related to privacy protection in cloud computing have attracted the …”
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A Partial Discharge Diagnosis Method for GIS Based on a Semi-Supervised Classification Framework and Density Peak Clustering Algorithm von Yang, Jiarong, Hu, Kelin, Wang, Feipeng, Zhang, Jing, Bao, Jinshan, Liu, Wensheng

“… The existing methods for diagnosing partial discharge (PD) insulation defects in gas-insulated switchgear (GIS) can only achieve a high identification accuracy …”
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Accelerating Density Peak Clustering Algorithm von Lin, Jun-Lin

“… The Density Peak Clustering (DPC) algorithm is a new density-based clustering method. It spends most of its execution time on calculating the local density and …”
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A Dynamic Density Peak Clustering Algorithm Based on K-Nearest Neighbor von Du, Hui, Zhai, Qiaofeng, Wang, Zhihe, Li, Yongbiao, Zhang, Manjie

“… The clustering results of the density peak clustering algorithm (DPC) are greatly affected by the parameter dc, and the clustering center needs to be selected manually …”
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Density Peak Clustering Algorithm Based on Data Field Theory and Grid Similarity von Yu, Qing-Ying, Shi, Ge-Ge, Xu, Dong-Sheng, Wang, Wen-Kai, Chen, Chuan-Ming, Luo, Yong-Long

“… The density peak clustering algorithm can rapidly identify cluster centers by drawing decision graphs without any prior knowledge …”
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Adaptive Density Peak Clustering Algorithm Based on Gaussian Distribution von LI Qiwen, WANG Zhihe, DU Hui, LU Depeng

“… The Density Peak Clustering (DPC) algorithm excels in diverse fields, is adept at identifying clusters of any shape, and is noise-resistant. However, the …”
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A New Density Peak Clustering Algorithm Based on Cluster Fusion Strategy von Li, Fuxiang, Zhou, Ming, Li, Shu, Yang, Tianhao

“… When the density peak clustering algorithm deals with complex datasets and the problem of multiple density peaks in the same cluster, the subjectively selected cluster centers are not accurate enough …”
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