# NOT RUN {
## generate a toy data
X = aux.gensamples(n=10)
## Find knn graph with k=5
Xgraph = aux.graphnbd(X,type=c("knn",5))
## Separately use binarized and real distance matrices
W1 = aux.shortestpath(Xgraph$mask)
W2 = aux.shortestpath(Xgraph$dist)
## visualize
opar <- par(no.readonly=TRUE)
par(mfrow=c(1,2), pty="s")
image(W1, main="from binarized")
image(W2, main="from Euclidean distance")
par(opar)
# }
# NOT RUN {
# }
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