Search Results - Grid-based density peaks clustering algorithm

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…”
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Automatic color pattern recognition of multispectral printed fabric images by Zhang, Jie, Yao, Pengpeng, Wu, Hochung, Xin, John H.

“… spectrophotometers and digital cameras. This paper develops a grid-based density peaks clustering (GDPC) algorithm to automatically recognize patterns and extract colors of multispectral images of printed fabrics…”
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Secure grid‐based density peaks clustering on hybrid cloud for industrial IoT by Sun, Liping, Ci, Shang, Liu, Xiaoqing, Guo, Liangmin, Zheng, Xiaoyao, Luo, Yonglong

“… To address these problems, this paper proposes a secure grid‐based density peaks clustering algorithm for a hybrid cloud environment…”
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Density Peak Clustering Algorithm Based on Data Field Theory and Grid Similarity by 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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A PID-Based kNN Query Processing Algorithm for Spatial Data by Qiao, Baiyou, Ma, Ling, Chen, Linlin, Hu, Bing

“…) control technology into kNN query processing and propose a PID-based kNN query processing algorithm (PIDKNN…”
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DPCG: an efficient density peaks clustering algorithm based on grid by Xu, Xiao, Ding, Shifei, Du, Mingjing, Xue, Yu

“… To address this issue, this paper introduces a novel approach based on grid, called density peaks clustering algorithm based on grid (DPCG…”
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Density Peaks Spatial Clustering by Grid Neighborhood Search by Luan, Shaotong, Lu, Cong, Bai, Liang, Wang, Haoran

“… To solve the problem of low efficiency in large datasets, this paper improved the DPC algorithm and proposed a density peak clustering algorithm, DPSCGNS, based on grid neighborhood search…”
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An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection by Chen, Liangchen, Gao, Shu, Liu, Baoxu

“… Here, we propose a clustering-based network anomaly detection model, and then a novel density peaks clustering algorithm DPC-GS-MND based on grid screening and mutual neighborhood degree for network anomaly detection…”
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Parallel grid-based density peak clustering of big trajectory data by Niu, Xinzheng, Zheng, Yunhong, Fournier-Viger, Philippe, Wang, Bing

“… To perform this task, Density Peak Clustering (DPC) is widely used due to its speed and small number of artificial parameters…”
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GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing by Deng, Chao, Song, Jinwei, Sun, Ruizhi, Cai, Saihua, Shi, Yinxue

“…•Propose a new effective density-based and grid-based clustering algorithm GRIDEN for massive spatial data…”
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Density Peak Clustering Algorithm Considering Topological Features by Lu, Shuyi, Zheng, Yuanjie, Luo, Rong, Jia, Weikuan, Lian, Jian, Li, Chengjiang

“… At present, types of clustering algorithms are mainly divided into hierarchical, density-based, grid-based and model-based ones…”
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Adaptive grid-based forest-like clustering algorithm by Cheng, Mingchang, Ma, Tiefeng, Ma, Lin, Yuan, Jian, Yan, Qijing

“…This paper presents an adaptive grid-based clustering algorithm called as “AGFC”, which uses a forest-like query structure to sequentially discovers multiple arbitrary-shaped clusters from the grid…”
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A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise by Bo Wu, Wilamowski, Bogdan M.

“…This paper presents a density- and grid- based (DGB) clustering method for categorizing data with arbitrary shapes and noise…”
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A Grid-Based Scenario Delineation Method for Distribution Networks Based on Fuzzy Comprehensive Evaluation and SNN-DPC Clustering by Zhu, Liuzhu, Yang, Xin, Wang, Xuli, Zhou, Fan, Guan, Zhi, Yang, Hejun

“… (density peak clustering based on shared-nearest-neighbors). First, analyze the response characteristics of various types of flexible resources, and establish a multi…”
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An efficient grid-based clustering method by finding density peaks by Bo Wu, Wilamowski, B. M.

“…). In this paper, an efficient grid-based clustering (GBC) method by finding density peaks is described…”
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Density Adjusted Spectral Clustering Algorithm Based on Neighborhood Standard Deviation by Xiaoyu GUO, Jinjin LIU, Yajun CHEN, Haojie LI, Peiyan YUAN, Xiaoyan ZHAO

“… Traditional clustering algorithms can be categorized into five primary types: hierarchical, density-based, grid-based, model-based, and partition-based algorithms…”
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On the approximation of Euclidean SL via geometric method by Huang, Xiaogang, Ma, Tiefeng

“… We propose a grid-based algorithm, called ρ-SL, to solve this problem in O(n+ν) expected time, where ν…”
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An Improved K-means Clustering Algorithm by Xu, Hui, Yao, Shunyu, Li, Qianyun, Ye, Zhiwei

“… To solve these problems, this paper proposes an improved K-means clustering algorithm. The concept of CLIQUE grid is used to remove the noise and obtain the regional density…”
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Enhanced Grid Based K-Medoids Clustering Technique for Customer Segmentation by Deepthi, M.

“… To address these issues, this paper proposes an improved K-Medoids clustering algorithm. A density-based noise removal technique is introduced through Grid to filter out outliers and obtain regional density…”
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Adaptive Peak Environmental Density Clustering Algorithm in Cloud Computing Technology by Zhao, Nannan

“…— In order to improve the clustering ability of grid sparse unbalanced cloud data sets, an adaptive environment density peak clustering algorithm based on cloud computing technology is proposed…”
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