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.