Automatic clustering and dimension reduction are two of the most intriguing topics in the
field of clustering. Affinity propagation (AP) is a representative graph-based clustering …

Assessment of similarity in species composition or abundance across sampled locations is a
common goal in multi‐species monitoring programs. Existing ordination techniques provide …

Clustering data effectively remains a significant challenge in machine learning, particularly
when the optimal number of clusters is unknown. Traditional deep clustering methods often …

Advances in biologging have increased the understanding of how animals interact with their
environment, especially for cryptic species. For example, giant armadillos (Priodontes …

Proportion variables, also known as compositional data, are very common in ecology.
Unfortunately, few scientists are aware of how compositional data, when used as covariates …

Destemming refers to the removal of the calyx and pedicel from chile (Capsicum annuum)
fruit, and destemming force is the amount of force required to accomplish this removal. The …

For each partition of a data set into a given number of parts there is a partition such that
every part is as much as possible a good model (an “algorithmic sufficient statistic”) for the …

LiDAR data are being increasingly used to provide a detailed characterization of the vertical
profile of forests. This characterization enables the generation of new insights on the …

One of the major shortfall of biodiversity knowledge steams from an incomplete description
of the geographical distribution of species. Overcoming this shortfall is essential for …

One of the major shortfall of biodiversity knowledge steams from an incomplete description
of the geographical distribution of species. Overcoming this shortfall is essential for …