pairCVIParameters_fast: Statistics for External CVIs based on Pairwise Comparison

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

Description

Calculates the summary statistics [m, m1, m2, M] which can be used to compute multiple normalized external CVIs based on the formulas of Wu, Xiong and Chen (2009).

Usage

pairCVIParameters_fast(assignments1, assignments2)

Arguments

assignments1	Integer vector of cluster assignments containing only values from 1 to k with k = number of clusters (code depends on this!).
assignments2	Integer vector of cluster assignments containing only values from 1 to k with k = number of clusters.

Value

Vector with the four components called m, m1, m2, M by Wu, Xiong and Chen (2009).

References

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, fowlkesMallows_fast, phi_fast, purity_fast, randIndex_fast, vanDongen_fast

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