fig2
![Linking processing parameters with melt pool properties of multiple nickel-based superalloys via high-dimensional Gaussian process regression](https://image.oaes.cc/78dd69ae-6742-4fe8-9c94-a33b11caa7be/5519.fig.2.jpg)
Figure 2. (A) Result of the k-means clustering algorithm where each color denotes a cluster in the reduced composition space. Here, PC1 and PC2 are the two principal components obtained after the Principal Component Analysis decomposition of the 19-dimensional space; (B) a 3D plot of the distribution of the alloys in the thermophysical property space of ρp, kp, cp at 300 K, indicated by the blue circles. The projection of these points on the pairwise planes of ρp - cp, cp - kp, kp - ρp are indicated by the yellow, green, and red triangles.