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Table 1 BMI-values

From: A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis

 

d 2

d r

d MI

CNS Rat

0.6804

0.6875

0.6692

Gaussian3

0.7170

0

0.7102

Gaussian5

0.2358

0.5424

-

Leukemia

0.3498

0.2559

0.3000

Lymphoma

0.3509

0.3385

0.7028

NCI60

0.4699

0.4699

0.5643

Novartis

0.4260

0.4240

0.4183

Simulated6

0.5022

0.8150

0.7456

Yeast

0.6647

0.6750

0.6677

  1. The BMI value for each of the considered distances and for each dataset. For Gaussian5, the d MI is not computed due to the small number of features. In bold, the values of BMI which reveal a good discrimination ability of a distance.
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BMC Bioinformatics

ISSN: 1471-2105

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