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Table 5 The second experiment: Summary of quality measures for the performances of six distances (DSSIM, descriptor, Euclidean, Manhattan, Pearson, approximated information distance) on a dataset of 526 genomic DNA sequences sampled randomly (10 fragments per chromosome for multi-chromosome organisms, and all fragments of the genome otherwise) from the genomes of organisms 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

0.729

1.000

0.964

1.980

2nd

Descriptor

0.726

0.998

0.984

2.336

1st

Euclidean

0.438

0.608

0.861

−5.292

6th

Manhattan

0.662

1.000

0.955

1.172

3rd

Pearson

0.639

0.949

0.875

−0.954

5th

Approx. Inf.

0.637

1.000

0.946

0.759

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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