Back to search

Article

Comparison of silhouette‐based reallocation methods for vegetation classification

2021-01-01

Abstract excerpt

AIMS: Vegetation classification seeks to partition the variability of vegetation into relatively homogeneous but distinct types. There are many ways to evaluate, and potentially improve, such a partitioning. One effective approach involves calculating silhouette widths which measure the goodness‐of‐fit of plots to their cluster. We introduce a new iterative reallocation clustering method — Reallocation of Misclass...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ccadb46c-621b-58fe-a415-75fad8b8ab4f
DOI
10.1111/jvs.12984
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Select a neighboring publication to make it the new centre.