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Table 4 The first experiment: Summary of quality measures for the performances of six distances (DSSIM, descriptor, Euclidean, Manhattan, Pearson, approximated information distance) on a dataset of 508 genomic DNA sequences spanning one complete chromosome for multi-chromosomes organisms and the complete genome otherwise, of one organism from each kingdom of life

From: An investigation into inter- and intragenomic variations of graphic genomic signatures

 

\(\mathcal {D}_{\alpha }\)

\(\mathcal {A}_{\alpha }\)

\(\mathcal {O}_{\alpha }\)

z-score sum

Rank

DSSIM

0.627

1.000

0.965

1.895

2nd

Descriptor

0.639

0.976

0.988

2.509

1st

Euclidean

0.231

0.325

0.907

−4.831

6th

Manhattan

0.527

1.000

0.951

0.84

3rd

Pearson

0.536

0.980

0.888

−0.875

5th

Approx. Inf.

0.527

1.000

0.937

0.462

4th

  1. \(\mathcal {D}_{\alpha }\) is the correlation to an idealized cluster, \(\mathcal {A}_{\alpha }\) the silhouette cluster accuracy, and \(\mathcal {O}_{\alpha }\) the relative overlap. Higher is better
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BMC Bioinformatics

ISSN: 1471-2105

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