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Complex Adaptive Systems Modeling

Table 3 Characteristics of datasets used for proper tests ( TS/2 ), listed out according to the group they belong to

From: Clustering datasets by complex networks analysis

Group

Dim

N s

N c

μ r

σ r

 

3D

350

5

0.35

0.19

 

3D

2000

20

0.44

0.2

 

3D

5000

30

0.51

0.24

 

4D

535

4

0.64

0.46

 

8D

1680

6

0.86

0.62

 

12D

930

8

1.22

0.88

Iris

4D

150

3

0.49

0.26

  1. Dim, N s , and N c denote the dimension of datasets, the number of samples, and the intrinsic number of clusters. Moreover, μ r and σ r denote the average radium and the variance of samples.
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