Drones have become a new means for parcel delivery in recent years. As the flight distances
of currently available commercial drones are usually limited due to the battery capacity …

摘要密度峰值聚类(densitypeak, DPeak) 算法是一种简单有效的聚类算法, 它可将任意维度数据
映射成2 维, 在降维后的空间中建构出数据之间的层次关系, 可以非常容易地从中挑选出密度高 …

Fast and efficient are common requirements for all clustering algorithms. Density peaks
clustering algorithm (DPC) can deal with non-spherical clusters well. However, due to the …

Clustering analysis is one of the major topics in unsupervised machine learning. A recent
study proposes a novel density-based clustering algorithm called the Density Peaks. It is …

Abstract Density Peak Clustering (DPC) is a popular state-of-the-art clustering algorithm,
which requires pairwise (dis) similarity of data objects to detect arbitrary shaped clusters …

The importance of an optimal solution for disaster evacuation has recently raised attention
from researchers across multiple disciplines. This is not only a serious, but also a …

The urban road networks undergo frequent traffic congestions during the peak hours and
around the city center. Capturing the spatiotemporal evolution of the congestion scenario in …

Monitoring traffic states of urban road networks is essential to relieving traffic burdens and
designing traffic management strategies. However, most traffic state estimation methods are …

The spatial partitioning problem of urban traffic network sub-regions has been mainly
researched in static mode by considering traffic conditions at a certain time. Nevertheless …

Urban traffic management is increasingly critical in the future to ensure the livability,
efficiency, and sustainability of the city. Urban road network partition is a fundamental step in …