-#R-equivalent of computeMedoidsIndices, requiring a matrix
-#(thus potentially breaking "fit-in-memory" hope)
+# R-equivalent of computeMedoidsIndices, requiring a matrix
+# (thus potentially breaking "fit-in-memory" hope)
R_computeMedoidsIndices <- function(medoids, series)
{
- nb_series = ncol(series)
+ nb_series = ncol(series) #series in columns
+
mi = rep(NA,nb_series)
for (i in 1:nb_series)
mi[i] <- which.min( colSums( sweep(medoids, 1, series[,i], '-')^2 ) )
+
mi
}