Table 8 Ablation experiment results on multimodal functions (30D).

From: Optimized K-means algorithm for image segmentation based on improved dung beetle algorithm

Function

Algorithm

Best

Mean

Std

F8

DBO-Baseline

-1.16E + 04

-8.49E + 03

1.80E + 03

DBO-LHS

-1.16E + 04

-8.63E + 03

2.07E + 03

DBO-HPS

-1.12E + 04

-9.33E + 03

1.81E + 03

DBO-CTO

-1.26E + 04

-1.06E + 04

1.87E + 03

IDBO-Full

-1.36E + 04

-1.09E + 04

1.85E + 03

F9

DBO-Baseline

0.00E + 00

2.09E + 00

9.17E + 00

DBO-LHS

0.00E + 00

1.18E + 00

3.95E + 00

DBO-HPS

0.00E + 00

4.19E + 00

2.25E + 01

DBO-CTO

0.00E + 00

0.00E + 00

0.00E + 00

IDBO-Full

0.00E + 00

0.00E + 00

0.00E + 00

F10

DBO-Baseline

0.00E + 00

2.09E + 00

9.17E + 00

DBO-LHS

0.00E + 00

1.18E + 00

3.95E + 00

DBO-HPS

0.00E + 00

4.19E + 00

2.25E + 01

DBO-CTO

0.00E + 00

0.00E + 00

0.00E + 00

IDBO-Full

0.00E + 00

0.00E + 00

0.00E + 00

F11

DBO-Baseline

0.00E + 00

2.09E + 00

9.17E + 00

DBO-LHS

0.00E + 00

1.18E + 00

3.95E + 00

DBO-HPS

0.00E + 00

4.19E + 00

2.25E + 01

DBO-CTO

0.00E + 00

0.00E + 00

0.00E + 00

IDBO-Full

0.00E + 00

0.00E + 00

0.00E + 00

F12

DBO-Baseline

2.51E-07

9.12E-04

2.27E-03

DBO-LHS

1.75E-07

1.14E-04

4.45E-04

DBO-HPS

1.25E-07

6.68E-04

1.86E-03

DBO-CTO

3.27E-08

1.30E-03

4.29E-03

IDBO-Full

1.50E-08

3.46E-05

8.35E-05