Table 4 Key components and their significance.
From: Machine learning-driven nonlinear analysis of inclusion effects in aluminium alloys
Component | Description | Magnitude Insights |
|---|---|---|
t-SNE Axes | Two-dimensional embedding (Axis 1 vs. Axis 2) | Arbitrary units representing similarity (no physical meaning) |
Data Points | Each point = one sample (colored by tensile strength) | Color gradient: Purple (low strength) → Yellow (high strength) |
Clusters | Groupings of similar inclusion characteristics | Cluster diameter ≈ 5–10 units indicates feature variability |
Color Gradient | Tensile strength range (viridis colormap) | 250 MPa (dark purple) to 350 MPa (bright yellow) |
