inci.matCSstd.tri | R Documentation |
Returns the incidence matrix for the CS-PCD whose vertices are the given 2D numerical data set, Xp
,
in the standard equilateral triangle T_e=T(v=1,v=2,v=3)=T((0,0),(1,0),(1/2,\sqrt{3}/2))
.
CS proximity region is defined with respect to the standard equilateral triangle
T_e=T(v=1,v=2,v=3)=T((0,0),(1,0),(1/2,\sqrt{3}/2))
and edge regions are based on the center M=(m_1,m_2)
in Cartesian coordinates or M=(\alpha,\beta,\gamma)
in barycentric coordinates in the interior of T_e
;
default is M=(1,1,1)
i.e., the center of mass of T_e
.
Loops are allowed, so the diagonal entries are all equal to 1.
See also (\insertCiteceyhan:Phd-thesis,ceyhan:arc-density-CS,ceyhan:test2014;textualpcds).
inci.matCSstd.tri(Xp, t, M = c(1, 1, 1))
Xp |
A set of 2D points which constitute the vertices of the CS-PCD. |
t |
A positive real number which serves as the expansion parameter in CS proximity region. |
M |
A 2D point in Cartesian coordinates or a 3D point in barycentric coordinates.
which serves as a center in the interior of the standard equilateral triangle |
Incidence matrix for the CS-PCD with vertices being 2D data set, Xp
and CS proximity
regions are defined in the standard equilateral triangle T_e
with M
-edge regions.
Elvan Ceyhan
inci.matCStri
, inci.matCS
and inci.matPEstd.tri
A<-c(0,0); B<-c(1,0); C<-c(1/2,sqrt(3)/2);
Te<-rbind(A,B,C);
n<-10
set.seed(1)
Xp<-runif.std.tri(n)$gen.points
M<-as.numeric(runif.std.tri(1)$g) #try also M<-c(.6,.2)
inc.mat<-inci.matCSstd.tri(Xp,t=1.25,M)
inc.mat
sum(inc.mat)-n
num.arcsCSstd.tri(Xp,t=1.25)
dom.num.greedy(inc.mat) #try also dom.num.exact(inc.mat) #might take a long time for large n
Idom.num.up.bnd(inc.mat,1)
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