An efficient and scalable density-based clustering algorithm for datasets with complex structures
As a research branch of data mining, clustering, as an unsupervised learning scheme,
focuses on assigning objects in the dataset into several groups, called clusters, without any …
focuses on assigning objects in the dataset into several groups, called clusters, without any …
Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design
With the development of simulation technology, more and more manufacturers have begun
to use the digital twin to design workshops and factories. For these design scenarios under …
to use the digital twin to design workshops and factories. For these design scenarios under …
To centralize or to decentralize? A systematic framework for optimizing rural wastewater treatment planning
Y Huang, P Li, H Li, B Zhang, Y He - Journal of Environmental …, 2021 - Elsevier
Untreated rural sewage seriously affects the universal access to clean water of rural
residents. The lack of decision-support tools in rural sewage treatment (RuST) planning …
residents. The lack of decision-support tools in rural sewage treatment (RuST) planning …
A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity
Geometrical properties and attributes are two important characteristics of a spatial object. In
previous spatial clustering studies, these two characteristics were often neglected. This …
previous spatial clustering studies, these two characteristics were often neglected. This …
A deep learning-based framework for automated extraction of building footprint polygons from very high-resolution aerial imagery
Accurate building footprint polygons provide essential data for a wide range of urban
applications. While deep learning models have been proposed to extract pixel-based …
applications. While deep learning models have been proposed to extract pixel-based …
Detecting interchanges in road networks using a graph convolutional network approach
M Yang, C Jiang, X Yan, T Ai, M Cao… - International Journal of …, 2022 - Taylor & Francis
Detecting interchanges in road networks benefit many applications, such as vehicle
navigation and map generalization. Traditional approaches use manually defined rules …
navigation and map generalization. Traditional approaches use manually defined rules …
Generating urban road intersection models from low-frequency GPS trajectory data
Detailed real-time road data are an important prerequisite for navigation and intelligent
transportation systems. As accident-prone areas, road intersections play a critical role in …
transportation systems. As accident-prone areas, road intersections play a critical role in …
The best clustering algorithms in data mining
In data mining, Clustering is the most popular, powerful and commonly used unsupervised
learning technique. It is a way of locating similar data objects into clusters based on some …
learning technique. It is a way of locating similar data objects into clusters based on some …
顾及多因素影响的自适应反距离加权插值方法
樊子德， 李佳霖， 邓敏 - 武汉大学学报(信息科学版), 2016 - ch.whu.edu.cn
空间插值算法旨在利用离散的观测点测量数据估算同一区域中未采样点的估计值,
进而生成连续的空间表面模型. 为了获得高精度的缺失数据估计值和高分辨率空间表面模型 …
进而生成连续的空间表面模型. 为了获得高精度的缺失数据估计值和高分辨率空间表面模型 …
An innovative methodology for the determination of wind farms installation location characteristics using GIS and Delaunay Triangulation
Renewable energy development and more specifically Wind Farm (WF) installation has
been increased during the last years by most countries. A discipline that has been studied …
been increased during the last years by most countries. A discipline that has been studied …