From: A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
Parameter of
Parameter
Value
Dataset
n
30Â 000
d
2
Step 1
\(n_{c}\)
300
Step 2
\(C_I\)
\(e^{1.0}\)
\(C_E\)
\(e^{4.0}\)
Step 3
GS edge cut
3.01
Step 4
GC edge cut
3.20