iGeneralizedDB_fast: Inverted Generalized Davies-Bouldin Index

In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series

Description

Calculates a generalized version of the Davies-Bouldin Index, similar to generalizedDB_fast. The only difference is that the separation measure is divided by the compactness measure (inverted compared to original index), so high values are desirable.

Usage

iGeneralizedDB_fast(interClusterDistances, intraClusterDistances)

Arguments

interClusterDistances	A matrix representing the distances between clusters (separation), with the number of rows/columns equal to the number of clusters.
intraClusterDistances	A vector representing the distances within a cluster (compactness), with its length equal to the number of clusters.

Value

The Inverted Generalized Davies-Bouldin Index. Could be Inf or NaN if there are clusters with a distance of zero between them (which is a bad clustering result) or infinity between them (which might indicate an error in the computation of your dissimilarity matrix).

References

Davies, D. L. & Bouldin, D. W. (1979). A cluster separation measure. IEEE transactions on pattern analysis and machine intelligence, 1(2), 224–227.

See Also

Other Internal Cluster Validity Indices: generalizedDB_fast, generalizedDunn_fast

Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.