phi_fast: Phi Coefficient

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

Description

Calculates the Phi coefficient of Pearson (1900) to compare two cluster assignment vectors (external cluster validation). It is a correlation value, therefore being in the interval (-1,1], higher values indicating more similar clusterings. The name varies in the literature. Instead of Phi, some sources also call it Gamma. In Wu, Xiong and Chen (2009) its called "Hubert's Gamma statistic I".

Usage

phi_fast(pairCVIParams)

Arguments

pairCVIParams

Output of link{pairCVIParameters} which has to be called with the two cluster assignment vector to be compared.

Value

Phi/Gamma coefficient as double from the range (-1,1].

References

Pearson, K. (1900). Mathematical contributions to the theory of evolution. vii. on the correlation of characters not quantitatively measurable. Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character, 195, 1-405.

Pearson, K. & Heron, D. (1913). On theories of association. Biometrika, 9(1/2), 159-315.

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, pairCVIParameters_fast, purity_fast, randIndex_fast, vanDongen_fast

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