sESOM4BMUs: simplified ESOM

In Mthrun/GeneralizedUmatrix: Credible Visualization for Two-Dimensional Projections of Data

simplified ESOM

Description

internfunction for the simplified ESOM Algorithmus [Thrun/Ultsch, 2020] for fixed BestMatchingUnits

Usage

sESOM4BMUs(BMUs,Data, esom, toroid, 

CurrentRadius,ComputeInR=FALSE,Parallel=TRUE)

Arguments

BMUs	[1:Lines,1:Columns], BestMAtchingUnits generated by ProjectedPoints2Grid()
Data	[1:n,1:d] array of data: n cases in rows, d variables in columns
esom	[1:Lines,1:Columns,1:weights] array of NeuronWeights, see ListAsEsomNeurons()
toroid	TRUE/FALSE - topology of points
CurrentRadius	number betweeen 1 to x
ComputeInR	=T: Rcode, =F Cpp Code
Parallel	=T: Rcode, =F Cpp Code

Details

Algorithm is described in [Thrun, 2018, p. 48, Listing 5.1].

Value

esom	array [1:Lines,1:Columns,1:d], d is the dimension of the weights, the same as in the ESOM algorithm. modified esomneuros regarding a predefined neighborhood defined by a radius

Note

Usually not for seperated usage!

Author(s)

Michael Thrun

References

[Thrun/Ultsch, 2020] Thrun, M. C., & Ultsch, A.: Uncovering High-Dimensional Structures of Projections from Dimensionality Reduction Methods, MethodsX, Vol. in press, pp. 101093. doi 10.1016/j.mex.2020.101093, 2020.

See Also

GeneralizedUmatrix

Mthrun/GeneralizedUmatrix documentation built on July 19, 2023, 9:34 a.m.