Open Access

Table 3

Overview of the PINK training hyperparameters.

Parameter Value
Similarity metric
Neighborhood
Map size
Map topology
Euclidean
Gaussian kernel
20 by 20
Cartesian non cyclic boundaries

Population phase Learning phase

Epochs
Kernel width
Learning rate
No. of rotations
1000
2.5
0.1
24
15 000
1.0
0.05
92

Notes. The top panel of the table shows the hyperparameters that were the same for the two training phases. The bottom panel lists the hyperparameters that were unique to each of the two training phases.

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