Advances in Kth nearest-neighbour clutter removal
N D'Angelo - Environmental and Ecological Statistics, 2024 - Springer
We consider the problem of feature detection in the presence of clutter in spatial point
processes. Classification methods have been developed in previous studies. Among these …
processes. Classification methods have been developed in previous studies. Among these …
Clustering in point processes on linear networks using nearest neighbour volumes
JF Díaz-Sepúlveda, N D'Angelo, G Adelfio… - Journal of Applied …, 2024 - Taylor & Francis
This study introduces a novel method specifically designed to detect clusters of points within
linear networks. This method extends a classification approach used for point processes in …
linear networks. This method extends a classification approach used for point processes in …
Local Indicators of Mark Association for Spatial Marked Point Processes
The emergence of distinct local mark behaviours is becoming increasingly common in the
applications of spatial marked point processes. This dynamic highlights the limitations of …
applications of spatial marked point processes. This dynamic highlights the limitations of …
A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging
Recent advances in multiplex imaging have enabled researchers to locate different types of
cells within a tissue sample. This is especially relevant for tumor immunology, as clinical …
cells within a tissue sample. This is especially relevant for tumor immunology, as clinical …
Feature detection in point processes on linear networks using nearest neighbour volumes
JF Diaz-Sepulveda, N D'Angelo, G Adelfio… - arXiv preprint arXiv …, 2022 - arxiv.org
We consider the feature detection problem in the presence of clutter in point processes on
linear networks. We extend the classification method developed in previous studies to this …
linear networks. We extend the classification method developed in previous studies to this …