K-centroid link: a novel hierarchical clustering linkage method
A Dogan, D Birant - Applied Intelligence, 2022 - Springer
In hierarchical clustering, the most important factor is the selection of the linkage method
which is the decision of how the distances between clusters will be calculated. It extremely …
which is the decision of how the distances between clusters will be calculated. It extremely …
A two-stage clustering ensemble algorithm applicable to risk assessment of railway signaling faults
C Liu, S Yang - Expert Systems with Applications, 2024 - Elsevier
Abstract Knowledge graph (KG) modeling constructs a connected network of hazard/fault
events by drawing on historical reports, helping extract risk factors and propagation features …
events by drawing on historical reports, helping extract risk factors and propagation features …
Nonunique UPGMA clusterings of microsatellite markers
Agglomerative hierarchical clustering has become a common tool for the analysis and
visualization of data, thus being present in a large amount of scientific research and …
visualization of data, thus being present in a large amount of scientific research and …
Research progress and thematic evolution of psychological distance—A co-word analysis based on bibliometric research
S Li, H Chen, Y Feng, F Chen, C Hou - Current Psychology, 2022 - Springer
Psychological distance provides a mechanistic and integrated theoretical framework for
multidisciplinary and interdisciplinary research; however, its research status and …
multidisciplinary and interdisciplinary research; however, its research status and …
The clustering of spatially associated species unravels patterns in tropical tree species distributions
Complex distribution data can be summarized by grouping species with similar or
overlapping distributions to unravel spatial patterns and separate trends (eg, of habitat loss) …
overlapping distributions to unravel spatial patterns and separate trends (eg, of habitat loss) …
A comparative study of hard clustering algorithms for vegetation data
Questions Which clustering algorithms are most effective according to different cluster
validity evaluators? Which distance or dissimilarity measure is most suitable for clustering …
validity evaluators? Which distance or dissimilarity measure is most suitable for clustering …
Geometric morphometrics of silky pocket mice (Perognathus: Perognathinae: Rodentia) crania reveals new insights into their variation, evolution, and taxonomy
BH Alhajeri, R Alaqeely… - Zoological Journal of the …, 2024 - academic.oup.com
We used cranial geometric morphometric methods (GMM) to explore interspecific variation
in Perognathus (silky pocket mice). We digitized 67 cranial landmarks on photographs of …
in Perognathus (silky pocket mice). We digitized 67 cranial landmarks on photographs of …
Identifying neural network structures explained by personality traits: combining unsupervised and supervised machine learning techniques in translational validity …
There have been studies previously the neurobiological underpinnings of personality traits
in various paradigms such as psychobiological theory and Eysenck's model as well as five …
in various paradigms such as psychobiological theory and Eysenck's model as well as five …
Evaluation of master's degree programmes in project and construction management: an agglomerative hierarchical clustering study
M Aydın - International Journal of Construction Management, 2024 - Taylor & Francis
This study examines master's degree programmes in project and construction management
in Turkey and the TRNC until 2022. It covers 16 master's degree programmes and …
in Turkey and the TRNC until 2022. It covers 16 master's degree programmes and …
Machine learning for predicting control landscape maps of quantum molecular dynamics: Laser-induced three-dimensional alignment of asymmetric-top molecules
T Namba, Y Ohtsuki - Physical Review A, 2024 - APS
Machine learning for predicting control landscape maps of full quantum molecular dynamics
is examined through a case study of the laser-induced three-dimensional (3D) alignment of …
is examined through a case study of the laser-induced three-dimensional (3D) alignment of …