fowlkesMallows_fast: Fowlkes-Mallows Index

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

Description

Calculates the index of Fowlkes and Mallows (1983) to compare two cluster assignment vectors (external cluster validation). It is a value in [0,1], the geometric mean of precision and recall, higher values indicating more similarity. The index can be corrected for similarity by chance as proposed by Wu, Xiong and Chen (2009), then also possibly yielding negative results (if the similarity is worse than random assignment) while the maximum is still 1 (and values are usually positive).

Usage

fowlkesMallows_fast(pairCVIParams, normalize = FALSE)

Arguments

pairCVIParams	Output of link{pairCVIParameters} which has to be called with the two cluster assignment vector to be compared.
normalize	Should the Fowlkes-Mallows Index be corrected for chance?

Value

The Fowlkes-Mallows Index as double (at most 1 for identical clusterings, normal Fowlkes-Mallows greater than zero, normalized one can also be negative).

References

Fowlkes, E. B. & Mallows, C. L. (1983). A method for comparing two hierarchical clusterings. Journal of the American statistical association, 78(383), 553-569.

Wu, J., Xiong, H. & Chen, J. (2009). Adapting the right measures for k-means clustering. In Proceedings of the 15th acm sigkdd international conference on knowledge discovery and data mining (pp. 877-886). ACM.

See Also

Other External Cluster Validity Indices: conditionalEntropy_fast, pairCVIParameters_fast, phi_fast, purity_fast, randIndex_fast, vanDongen_fast

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