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Table 3 General workflow clustering support, PSG (Equation 13), obtained for the Armadillo dataset using as parameters the cosine distance and encoding of Type I

From: Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms

Clustering index

k -means

k -medoids

Calinski-Harabasz

0.951

0.684

Silhouette

0.659

0.840

logSS

0.659

0.823

  1. Results for the k-means and k-medoids partitioning algorithms and the CH, SI and logSS clustering criteria are reported. These values were computed over 1000 different program runs for each parameters combination.
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BMC Bioinformatics

ISSN: 1471-2105

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