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...
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Identifiers and source
- Literature Corpus work
- ccadb46c-621b-58fe-a415-75fad8b8ab4f
- DOI
- 10.1111/jvs.12984
