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Table 4 BMI vs FM

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

-0.3408

-0.0507

-0.5335

Gaussian3

-0.4027

-0.91840

-0.4383

Gaussian5

-0.6297

-1

-

Leukemia

-0.8701

-0.8628

-0.8453

Lymphoma

-0.6969

-0.6624

-0.5338

NCI60

-0.6801

-0.6429

-0.7264

Novartis

-0.8194

-0.7661

-0.8230

Simulated6

-0.9280

-0.9255

-0.4584

Yeast

-0.4183

-0.2481

-0.4887

  1. The Pearson correlation between the BMI and FM values computed on all the clustering solutions mapped in the CROC of each of the considered distances, for each dataset. For Gaussian5, the d MI is not computed due to the small number of features. The strong correlation values are shown in bold, while the weak correlation in grey.