The NMDS ordination produced a good representation of the distances (stress = 0.118).
| stress | 0.117986 |
| metric | braycurtis |
| n_components | 2 |
| method | nmds |
| n_rows | 80 |
| n_dropped | 0 |
| color_col | gradient |
ordination scatter
Method & Provenance
- Method
- Ordination — NMDS
- Engine
- Python · scikit-learn 1.8.0
- Input dataset
-
gallery — example_ordination.csv
- Started
- 2026-09-21 02:17:10.907313
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/3fddc3bc70204b29beced7d0f04ee8b0
| Parameter | Value |
| ordination_method | nmds |
| method | nmds |
| feature_cols | gradient, f1, f2, f3, f4, f5, f6, f7, f8 |
| n_components | 2 |
| color_col | gradient |
Command history
# python
from app.services.ordination_service import run_ordination
# python
coords = run_ordination(df, method='nmds', n_components=2)