• Overview
• Correlations

Hints:

Here you see a list of all clustering quality measures. They are used to calculate the agreement of clusterings with a goldstandard. If you want more detailed information about one of the measures, just click on it.

Clustering Quality Measures

• Davies Bouldin Index (R)
• Dunn Index (R)
• F1-Score
• F2-Score
• False Discovery Rate
• False Positive Rate
• Fowlkes Mallows Index (R)
• Jaccard Index (R)
• Rand Index
• Rand Index (R)
• Sensitivity
• Silhouette Value (R)
• Specificity
• V-Measure