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Function to calculate the radius for data generation.
calculate_Delauny_radius(Data, BestMatches, Columns = 80, Lines = 50, Toroid = TRUE)
Returns a list of results.
Distances on the Umatrix neigborhood matrix.
Radius suggested by EM algorithm.
Matrix of data (as submitted to Umatrix generation)
Array with positions of Bestmatches
Number of columns of the Umatrix
Whether a toroid Umatrx was used
Ultsch A, Lotsch J: Machine-learned cluster identification in high-dimensional data. J Biomed Inform. 2017 Feb;66:95-104. doi: 10.1016/j.jbi.2016.12.011. Epub 2016 Dec 28.
if (FALSE) { data("Hepta") data("HeptaBMU") DelaunyHepta <- calculate_Delauny_radius(Data = Hepta$Data, BestMatches = HeptaBMU, Toroid = FALSE) }
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