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Table 1 Dataset along with steps parameters

From: A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training

Parameter of

Parameter

Value

Dataset

n

30 000

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