Clustering Help

Group plots or samples into clusters (K-Means or hierarchical) on z-scored numeric features. Saves a derived dataset with a cluster column for downstream use (e.g. management zones).

Requires: One dataset with at least one numeric column.

Form fields accepted by this method's POST request

analysis_type=clustering, dataset_id, cluster_method, feature_cols, linkage, n_clusters

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Parameters & Options
Optional — select specific columns or leave unselected to use every numeric column. Features are z-scored before clustering.
The result is saved as a derived dataset with a cluster column you can reuse as a group or feature column in downstream analyses (e.g. ANOVA across management zones).
Optional: fill missing numeric values before the analysis runs. Leave as default to keep the method's own handling.
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