function to calculates the BetaCV.
Determine in which cluster a data is belonged. clust should be a numeric, 0 indicates a noise and cluster start at 1.
BetaCV measures how well the clusters based on compactness (intra-cluster distance) and separability (inter-cluster distance). BetaCV is the ratio between the average of intra-cluster distance to the average of inter-claster distance. The smaller BetaCV value indicates the better the clustering.
This function returns the betaCV value.
Fella Ulandari and Robert Kurniawan
University of Illinois. (2020, January 10). 6.1 Methods for Clustering Validation. Retrieved from Coursera: https://www.coursera.org/lecture/cluster-analysis/6-1-methods-for-clustering-validation-k59pn
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