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Driver fixation region division–oriented clustering method based on the density-based spatial clustering of applications with noise and the mathematical morphology clustering

机译：基于密度的噪声应用空间聚类和数学形态聚类的驾驶员固定区域划分聚类方法

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Shi-wu Li; Yi Xu; Wen-cai Sun; Zhi-fa Yang; Lin-hong Wang; Meng Chai; Xue-xin Wei;
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年度 2015
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1. Driver fixation region division–oriented clustering method based on the density-based spatial clustering of applications with noise and the mathematical morphology clustering: [J] . Shi-wu Li, Yi Xu, Wen-cai Sun, Advances in Mechanical Engineering . 2015,第10期

机译：基于带有噪声的应用程序基于密度的空间聚类和数学形态学聚类的面向驾驶员固定区域划分的聚类方法：
2. Aluminum alloy microstructural segmentation method based on simple noniterative clustering and adaptive density-based spatial clustering of applications with noise [J] . Zhang Shiyue, Chen Dali, Liu Shixin, Journal of electronic imaging . 2019,第3期

机译：基于简单非迭代聚类和基于自适应噪声的空间密度聚类的铝合金显微组织分割方法
3. Aluminum alloy microstructural segmentation method based on simple noniterative clustering and adaptive density-based spatial clustering of applications with noise [J] . Zhang Shiyue, Chen Dali, Liu Shixin, Journal of electronic imaging . 2019,第3期

机译：基于简单的非特征聚类和基于自适应密度的空间聚类的铝合金微观结构分割方法
4. Clustering of Provinces in Indonesia Based on Regional Investment Capacity with Density-Based Spatial Clustering of Applications with Noise Method [C] . Tifanny Nabarian, Sutoto, Nerifa Gusmawati, International Conference on Computing Engineering and Design . 2019

机译：基于区域投资能力的印度尼西亚省份聚类，基于密度的应用噪声空间聚类
5. On density-based and representative-based spatial clustering algorithms. [D] . Chen, Chun-Sheng. 2011

机译：基于密度和基于代表的空间聚类算法。
6. Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Regional Economic Index Selection [O] . Yi Zhang, Gang Yang -1

机译：基于聚类和熵值法的决策树算法在区域经济指标选择中的应用
7. ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities [O] . Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Rezoana Bente Arif, 2018

机译：ADBSCAN：基于自适应的基于密度的空间聚类，用于识别具有不同密度的簇的噪声

Driver fixation region division–oriented clustering method based on the density-based spatial clustering of applications with noise and the mathematical morphology clustering

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