Back to metrics
NMI
🎯 Clustering & Cell Type DiscoveryNormalized Mutual Information
Direction
Higher is Better
Value Range
[0, 1]
Category
Clustering & Cell Type Discovery
Supervised metrics comparing predicted clusters to ground truth labels
Description
Measures the mutual information between predicted clusters and true labels, normalized by the entropy of the two distributions
Mathematical Formula
NMI(Y, Ŷ) = I(Y; Ŷ) / √(H(Y) * H(Ŷ))Interpretation Guide
Range [0, 1]. 1 = perfect clustering match with ground truth. Symmetric, accounts for chance clustering.
Related Metrics
Other metrics in the Clustering & Cell Type Discovery category