InputDistances: [1:n,1:n] symmetric matrix of input distances
minp: default value: 0.01,see quantile, first value in the vector of probs estimates robust minimum of distances
maxp: default value: 0.99, see quantile, last value of the vector of probs estimates robust maximum of distances
alpha: Do not change! Intern parameter, Only if Java Version of Pswarm instead of C++ version is used.
Verbose: optional, integer stating degree of textual feedback. 0 = no output, 1 = basic notifications, 2 = progress bar, 3 = details.
Details
grid is set such that minimum and maximum distances can be shown on the grid
Returns
LC=c(Lines, Columns) size of the grid for Pswarm
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.
Author(s)
Michael Thrun, Florian Lerch
Examples
data("Lsun3D")Data=Lsun3D$Data
Cls=Lsun3D$Cls
InputDistances=as.matrix(dist(Data))#If not called separately setGridSize() is called in PswarmLC=setGridSize(InputDistances)