Agglomerative run #34 · clustering

Table view Dataset report
3
n clusters
agglomerative
method
3
k
ward
linkage
completed
status
2026-09-21 02:17
created
Figures
Cluster scatter Download PNG
Cluster scatter
Silhouette plot Download PNG
Silhouette plot
Hierarchical clustering dendrogram Download PNG
Hierarchical clustering dendrogram
Sizes 3 rows
namevalue
025
125
225
Export: CSV Excel PDF

Method & Provenance

Method
Clustering — Agglomerative clustering
Method key
agglomerative (result type: clustering, result #34)
Engine
Python · scikit-learn v1.8.0
Dataset(s)
#712 gallery — example_clustering.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/1a3dd8c3013a4c3bb4c0baa519c650e2 Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:17:18.284433

Parameters used

ParameterValue
cluster_method agglomerative
feature_cols f1, f2, f3, f4, f5, f6
n_clusters 3
linkage ward

Execution trace

Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made. 

from sklearn.cluster import AgglomerativeClustering
labels = AgglomerativeClustering(n_clusters=3, linkage='ward').fit_predict(X)
silhouette = sklearn.metrics.silhouette_score(X, labels)