Search Results - "Density peaks clustering algorithm"

A fast density peaks clustering algorithm with sparse search by Xu, Xiao, Ding, Shifei, Wang, Yanru, Wang, Lijuan, Jia, Weikuan

“…Given a large unlabeled set of complex data, how to efficiently and effectively group them into clusters remains a challenging problem. Density peaks…”
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A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data by Cheng, Dongdong, Li, Ya, Xia, Shuyin, Wang, Guoyin, Huang, Jinlong, Zhang, Sulan

“…Density peaks clustering algorithm (DP) has difficulty in clustering large-scale data, because it requires the distance matrix to compute the density and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula…”
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A robust density peaks clustering algorithm with density-sensitive similarity by Xu, Xiao, Ding, Shifei, Wang, Lijuan, Wang, Yanru

“… To address these issues, we propose a robust density peaks clustering algorithm with density-sensitive similarity (RDPC-DSS…”
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A Grid-Based Density Peaks Clustering Algorithm by Fang, Xintong, Xu, Zhen, Ji, Haifeng, Wang, Baoliang, Huang, Zhiyao

“…This work focuses on the improvement of density peaks clustering (DPC, also known as clustering by fast search and find of density peaks, FSFDP) by the…”
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GDPC: Gravitation-based Density Peaks Clustering algorithm by Jiang, Jianhua, Hao, Dehao, Chen, Yujun, Parmar, Milan, Li, Keqin

“…The Density Peaks Clustering algorithm, which we refer to as DPC, is a novel and efficient density-based clustering approach, and it is published in Science in 2014…”
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An improved density peaks clustering algorithm based on natural neighbor with a merging strategy by Ding, Shifei, Du, Wei, Xu, Xiao, Shi, Tianhao, Wang, Yanru, Li, Chao

“… For the sake of addressing these issues and improving the performance of DPC, an improved density peaks clustering algorithm based on natural neighbor with a merging strategy (IDPC-NNMS) is proposed…”
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Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors by Ding, Shifei, Li, Chao, Xu, Xiao, Guo, Lili, Ding, Ling, Wu, Xindong

“… To this end, this paper proposes a fast density peaks clustering algorithm based on approximate k -nearest neighbors (FDPAN…”
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Density peaks clustering algorithm based on fuzzy and weighted shared neighbor for uneven density datasets by Zhao, Jia, Wang, Gang, Pan, Jeng-Shyang, Fan, Tanghuai, Lee, Ivan

“… The local density of density peaks clustering algorithm (DPC) does not consider the effect of sample density difference between clusters of uneven density data, which may lead to wrong selection of cluster centers…”
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A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data by Ding, Shifei, Li, Chao, Xu, Xiao, Ding, Ling, Zhang, Jian, Guo, Lili, Shi, Tianhao

“…•An improved triangle-inequality-based search strategy is proposed.•An approximate local density calculation of representatives is proposed.•Experiments show…”
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Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging by Li, Chao, Ding, Shifei, Xu, Xiao, Hou, Haiwei, Ding, Ling

“… However, it also has low operational efficiency and a “Domino” effect. To solve these defects, we propose a fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging (KS-FDPC…”
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A novel density peaks clustering algorithm based on Hopkins statistic by Zhang, Ruilin, Miao, Zhenguo, Tian, Ye, Wang, Hongpeng

“…Density peaks clustering (DPC) is a promising algorithm due to straightforward and easy implementation. However, most of its improvements still rely on expert,…”
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Dense members of local cores-based density peaks clustering algorithm by Cheng, Dongdong, Zhang, Sulan, Huang, Jinlong

“… In this paper, we propose a dense members of local core-based density peaks clustering algorithm DLORE-DP…”
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Detection of Power Data Outliers Using Density Peaks Clustering Algorithm Based on K-Nearest Neighbors by Li, Qingpeng, Chen, Lei, Wang, Yuhan

“…As an important research branch in data mining, outlier detection has been widely used in equipment operation monitoring and system operation control. Power…”
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Face clustering using a novel density peaks clustering algorithm by Zhou, Yu, Cheng, Jiaoyang, Long, Jianqiao, Li, Jiguang, Li, Jiaqing, Li, Jichun

“…Face clustering remains a challenging task due to the high intra-class variability and uneven density distributions inherent in real-world face datasets. These…”
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A Graph Adaptive Density Peaks Clustering algorithm for automatic centroid selection and effective aggregation by Xu, Tengfei, Jiang, Jianhua

“…As a clustering approach based on density, Density Peaks Clustering algorithm (DPC) has conspicuous superiorities in searching and finding density peaks…”
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An improved density peaks clustering algorithm with fast finding cluster centers by Xu, Xiao, Ding, Shifei, Shi, Zhongzhi

“…Fast and efficient are common requirements for all clustering algorithms. Density peaks clustering algorithm (DPC…”
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A novel density peaks clustering algorithm for mixed data by Du, Mingjing, Ding, Shifei, Xue, Yu

“…•We propose a unified similarity between pairs of objects to handling mixed data.•We integrate this similarity measure with the DPC method recently…”
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Density peaks clustering algorithm integrating manifold distance and mutual nearest neighbors by Deng, Cai, Zhang, Qinghua, Zhou, Xinran, Zhang, Siyang, Wang, Guoyin, Xu, Weihua

“…•A new density metric calculated using mutual nearest neighbors is proposed to eliminate density disparities between clusters.•The improved manifold distance…”
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An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood by Ding, Shifei, Du, Mingjing, Sun, Tongfeng, Xu, Xiao, Xue, Yu

“… For this, we propose an entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood (DP-MD-FN…”
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A novel density peaks clustering algorithm based on k nearest neighbors for improving assignment process by Jiang, Jianhua, Chen, Yujun, Meng, Xianqiu, Wang, Limin, Li, Keqin

“…Density Peaks Clustering (DPC) algorithm is a kind of density-based clustering approach, which can quickly search and find density peaks. However, DPC has…”
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