Kmeans run #32 · clustering

Table view Dataset report
3
n clusters
kmeans
method
3
k
0.1525
silhouette
completed
status
2026-09-21 02:12
created
Figures
Cluster scatter Download PNG
Cluster scatter
Silhouette plot Download PNG
Silhouette plot
Elbow plot Download PNG
Elbow plot
Sizes 3 rows
namevalue
09
135
215
Inertia Sweep 9 rows
namevalue
22093.8874488536267
31847.7252302539407
41699.2579105975049
51613.733829221204
61523.5907476787895
71408.7704150777192
81339.7675840404188
91255.4141510333423
101173.4455724152842
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Method & Provenance

Method
Clustering — K-Means
Method key
kmeans (result type: clustering, result #32)
Engine
Python · scikit-learn v1.8.0
Dataset(s)
#690 gallery — cat_g_field_data_plots.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/a038a07d3c7e4e02ab3ee272769ecd2c Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:12:45.307195

Parameters used

ParameterValue
cluster_method kmeans
feature_cols PLOT, LAT, LONG, ENV_SOILNH4, ENV_SOILNO3, ENV_SOILP, ENV_SOILOC, ENV_SOILTN, ENV_SOILTC, ENV_PH, ENV_SOILCLAY, ENV_SOILSILT, ENV_SOILSAND, ENV_SOILMOIS, RC_SHOOTMASS, RC_WOODMASS, RC_LITTERMASS, RC_LITTERWMASS, PC_SHOOTMASS, PC_WOODMASS, PC_LITTERMASS, PC_LITTERWMASS, PC_ROOTMASS, PC_HEIGHT, GH_COUNT, ENV_AIRTEMP, COVER_RICHNESS_JUN, COVER_TOTAL_JUN, COVER_SHANNON_JUN, COVER_RICHNESS_JUL, COVER_TOTAL_JUL, COVER_SHANNON_JUL, COVER_RICHNESS_AUG, COVER_TOTAL_AUG, COVER_SHANNON_AUG, PASTURE_TOTALAREA, SUBPASTURE_TOTALAREA, PASTURE_FORESTAREA, PASTURE_WETLANDAREA, SUBPASTURE_FORESTAREA, SUBPASTURE_WETLANDAREA
n_clusters 3

Execution trace

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

from sklearn.cluster import KMeans
labels = KMeans(n_clusters=3, n_init=10, random_state=42).fit_predict(X)
silhouette = sklearn.metrics.silhouette_score(X, labels)