sigmarange: Numeric vector [1:s] of relevant sigmas
PlotIt: FALSE: disable plot, TRUE: Plot with upper boundary of H after [Wang et al., 2011].
Details
In theory there should be a curve with a clear minimum of Entropy [Wang et al.,2011]. Then the choice for the impact factor sigma is the minimum of the entropy to define the correct data field. It follows, that the influence radius is 3/sqrt(2)*sigma (3B rule of gaussian distribution) for clustering algorithms like density peak clustering [Wang et al.,2011].
Returns
[1:s] named vector of the Entropy of data field. The names are the impact factor sigma.
References
[Wang et al., 2015] Wang, S., Wang, D., Li, C., & Li, Y.: Comment on" Clustering by fast search and find of density peaks", arXiv preprint arXiv:1501.04267, 2015.
[Wang et al., 2011] Wang, S., Gan, W., Li, D., & Li, D.: Data field for hierarchical clustering, International Journal of Data Warehousing and Mining (IJDWM), Vol. 7(4), pp. 43-63. 2011.