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#' Find the best pair of clusters
#'
#' Find the best pair of clusters to merge based on tropical linkage method
#'
#' @param D1 list of Matrices
#' @param method linkage method.
#' @return value of the associated linkage method
#' @author Ruriko Yoshida \email{ryoshida@@nps.edu}
#' @noRd
finding.pair <- function(D1, method=mean){
## D1 is a list of matrices.
### method is one of `mean`, `min`, `max`
d1 <- length(D1)
best.pair.index <- c(1, 2)
d.star <- tropical.average.linkage(D1[[1]], D1[[2]]) + 100000
for(i in 1:d1)
for(j in 1:d1){
d <- d.star
if(identical(method, base::mean))
if(i != j)
d <- tropical.average.linkage(D1[[i]], D1[[j]])
if(identical(method, base::min))
if(i != j)
d <- tropical.minimum.linkage(D1[[i]], D1[[j]])
if(identical(method, base::max))
if(i != j)
d <- tropical.complete.linkage(D1[[i]], D1[[j]])
if(d < d.star){
d.star <- d
best.pair.index[1] <- i
best.pair.index[2] <- j
}
}
return(list(best.pair.index, d.star))
}
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