The rapid development of light detection and ranging (LiDAR) techniques is advancing
ecological and forest research. During the last decade, numerous single tree segmentation …

Fast development of analytical techniques enable to acquire huge amount of data. Large
data sets are difficult to handle and therefore, there is a big interest in designing a subset of …

Techniques based on agglomerative hierarchical clustering constitute one of the most
frequent approaches in unsupervised clustering. Some are based on the single linkage …

Clustering is a widely used unsupervised data mining technique. It allows to identify
structures in collections of objects by grou** them into classes, named clusters, in such a …

Access to information and communication technologies (ICTs) such as mobile phone
networks is widely known to improve market efficiency. In this paper, we examine whether …

AMPA receptor (AMPAR) abundance and positioning at excitatory synapses regulates the
strength of transmission. Changes in AMPAR localisation can enact synaptic plasticity …

Automated techniques for analyzing the dynamic behavior of full-scale civil structures are
becoming increasingly important for continuous structural health-monitoring applications …

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 …

Outlier detection (OD) constitutes an important issue for many research areas namely data
mining, medicines, and sensor networks. It is helpful mainly in identifying intrusion, fraud …

The maintenance of high-copy number plasmids within bacteria had been commonly
thought to result from free diffusion and random segregation. Recent microscopy …