sESOM4BMUs function

Intern function: Simplified Emergent Self-Organizing Map

Intern function: Simplified Emergent Self-Organizing Map

Intern function for the simplified ESOM (sESOM) algorithm for fixed BestMatchingUnits.

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: Optional, =TRUE: Parallel C++ implementation, =FALSE C++ implementation

Details

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

Note

Usually not for seperated usage!

Returns

  • esom: numeric 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

Author(s)

Michael Thrun

See Also

GeneratePswarmVisualization

References

[Thrun, 2018] Thrun, M. C.: Projection Based Clustering through Self-Organization and Swarm Intelligence, doctoral dissertation 2017, Springer, Heidelberg, ISBN: 978-3-658-20539-3, tools:::Rd_expr_doi("10.1007/978-3-658-20540-9") , 2018.

  • Maintainer: Michael Thrun
  • License: GPL-3
  • Last published: 2024-06-20