Construct · 1 fields · 1 citations

Davies-Bouldin index: a standalone construct

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Machine learning

a cluster validity index averaging, for each cluster, its worst ratio of within-cluster scatter to between-cluster separation, with lower values better.

In machine learning, Davies-Bouldin index refers to a cluster validity index averaging, for each cluster, its worst ratio of within-cluster scatter to between-cluster separation, with lower values better. This meaning comes from Davies (1979) in IEEE Transactions on Pattern Analysis and Machine Intelligence.[1]

Unit
Recovery means
Measured by

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Nearby constructs

cluster4 fields · 4 citationsjingle · one word, four constructs dermoscopic pattern analysis1 fields · 1 citationsanchor · a standalone construct index5 fields · 11 citationsjingle · one word, five constructs

References

Davies, D. L., & Bouldin, D. W. (1979). A Cluster Separation Measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1(2), 224-227. https://doi.org/10.1109/tpami.1979.4766909

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