c_functionality {stops} | R Documentation |
c-functionality calculates the c-functionality based on the maximum edge value We define c-functionality as the aggregated functionality between any two dimensions
c_functionality(confs, aggr = max, alpha = 1, C = 15, var.thr = 1e-05, zeta = NULL)
confs |
a numeric matrix or data frame with two columns |
aggr |
the aggregation function for configurations of more than two dimensions. Defaults to mean |
alpha |
an optional number of cells allowed in the X-by-Y search-grid. Default value is 1 |
C |
an optional number determining the starting point of the X-by-Y search-grid. When trying to partition the x-axis into X columns, the algorithm will start with at most C X clumps. Default value is 15. |
var.thr |
minimum value allowed for the variance of the input variables, since mine can not be computed in case of variance close to 0. Default value is 1e-5. |
zeta |
integer in [0,1] (?). If NULL (default) it is set to 1-MIC. It can be set to zero for noiseless functions, but the default choice is the most appropriate parametrization for general cases (as stated in Reshef et al. SOM). It provides robustness. |
x<-seq(-3,3,length.out=200) y<-sqrt(3^2-x^2) z<- sin(y-x) confs<-cbind(x,y,z) c_functionality(confs)