View source: R/PswarmEpochsParallel.R
PswarmEpochsParallel | R Documentation |
Finds the weak Nash equilibirium of the data bots for one epoch depending on a
radius, which requires the setting of constants, grid, and so on in, see
Pswarm
.
PswarmEpochsParallel(AllDataBotsPosRe, AllDataBotsPosIm, MyDistanceMatrix,
AllFreePosR0, GridRadii, GridAngle, JumpsPerRadius, NumJumps, NumAllDB, Lines,
Columns, Origin, Happiness, QuadOrHexa, RadiusVector, Rmin, Rmax, Cls, Debug,
pp, PlotIt = FALSE, Verbose = 1, Eps = 0.0001)
AllDataBotsPosRe |
Numeric vector [1:n] of the current positions for the databots on first of two dimensions. |
AllDataBotsPosIm |
Numeric vector [1:n] of the current positions for the databots on second of two dimensions. |
MyDistanceMatrix |
Numeric vector with vectorized distance matrix of the datapoints in the original (high-dimensional) data space |
AllFreePosR0 |
NumericMatrix, see |
GridRadii |
Numeric matrix with radius information of polar transformation for each grid position |
GridAngle |
Numeric matrix with angle information of polar transformation for each grid position |
JumpsPerRadius |
Numeric Vector of possible positions of the 1st coordinate. |
NumJumps |
Integer number of jumps. |
NumAllDB |
Integer total number of databots |
Lines |
Integer stating the number of Lines the polar grid consists of. |
Columns |
Integer stating the number of columns the polar grid consists of. |
Origin |
Numeric origin of the positions of grid in two dimensions |
Happiness |
Numeric value indicating the global happiness over all databots |
QuadOrHexa |
optional, bool: If TRUE prints status every 100 iterations |
RadiusVector |
Numeric vector stating all moving radius in a descending order (cooling down scheme). |
Rmin |
Integer stating minimum radius. |
Rmax |
Integer stating maximum radius. |
Cls |
Integer vector stating the classification vector for each datapoints/databots. |
Debug |
optional, bool: If TRUE prints information for debugging. |
pp |
Numeric vector stating ratio of number of jumping simultaneously DataBots of one eppoch (per nash-equilibirum), this vector is linearly monotonically decreasing. |
PlotIt |
optional, bool: If TRUE creates plot of projection after each epoch. |
Verbose |
optional, integer stating degree of textual feedback. 0 = no output, 1 = basic notifications, 2 = progress bar, 3 = details. |
Eps |
optional, double: Stop criterion for convergence of each epoche. |
Algorithm is described in [Thrun, 2018, p. 95, Listing 8.1].
list of
AllDataBotsPosRe |
Numeric vector [1:n] of the current positions for the databots on first of two dimensions. |
AllDataBotsPosIm |
Numeric vector [1:n] of the current positions for the databots on second of two dimensions. |
CourseOfHappiness |
NumericVector, states the global happiness value per epoch. |
RadiusPerEpoch |
NumericVector, stating the radius used per epoch in order of computation. |
Quirin Stier
[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, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-658-20540-9")}, 2018.
[Thrun/Ultsch, 2021] Thrun, M. C., and Ultsch, A.: Swarm Intelligence for Self-Organized Clustering, Artificial Intelligence, Vol. 290, pp. 103237, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.artint.2020.103237")}, 2021.
[Stier/Thrun, 2024] Stier, Q. and Thrun, M. C.: An efficient multicore CPU implementation of the DatabionicSwarm, 18th conference of the International Federation of Classification Societies (IFCS), San José, Costa Rica, July 14-19, 2024.
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