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Umatrix (version 4.0.1)

calculate_Delauny_radius: Calculate the Delauny graph based radius

Description

Function to calculate the radius for data generation.

Usage

calculate_Delauny_radius(Data, BestMatches, 
    Columns = 80,  Lines = 50,  Toroid = TRUE)

Value

Returns a list of results.

neighbourDistances

Distances on the Umatrix neigborhood matrix.

RadiusByEM

Radius suggested by EM algorithm.

Arguments

Data

Matrix of data (as submitted to Umatrix generation)

BestMatches

Array with positions of Bestmatches

Columns

Number of columns of the Umatrix

Lines

Number of columns of the Umatrix

Toroid

Whether a toroid Umatrx was used

References

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.

Examples

Run this code
if (FALSE) {
data("Hepta")
data("HeptaBMU")
DelaunyHepta <- calculate_Delauny_radius(Data = Hepta$Data, BestMatches = HeptaBMU,  Toroid = FALSE)
}

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