+ synchrones = computeSynchrones(medoids,
+ getRefSeries, nb_ref_curves, nb_series_per_chunk, ncores_clust, verbose, parll)
+ distances = computeWerDists(synchrones, ncores_clust, verbose, parll)
+ #TODO: if PAM cannot take big.matrix in input, cast it before... (more than OK in RAM)
+ medoids[ cluster::pam(distances, K2, diss=TRUE)$medoids , ]
+}
+
+#' computeSynchrones
+#'
+#' Compute the synchrones curves (sum of clusters elements) from a matrix of medoids,
+#' using L2 distances.
+#'
+#' @param medoids big.matrix of medoids (curves of same length as initial series)
+#' @param getRefSeries Function to retrieve initial series (e.g. in stage 2 after series
+#' have been replaced by stage-1 medoids)
+#' @param nb_ref_curves How many reference series? (This number is known at this stage)
+#' @inheritParams claws
+#'
+#' @return A big.matrix of size K1 x L where L = data_length
+#'
+#' @export
+computeSynchrones = function(medoids, getRefSeries,
+ nb_ref_curves, nb_series_per_chunk, ncores_clust=1,verbose=FALSE,parll=TRUE)
+{
+
+
+
+#TODO: si parll, getMedoids + serialization, pass only getMedoids to nodes
+# --> BOF... chaque node chargera tous les medoids (efficacité) :/ ==> faut que ça tienne en RAM
+#au pire :: C-ifier et charger medoids 1 by 1...
+
+ #MIEUX :: medoids DOIT etre une big.matrix partagée !
+
+ computeSynchronesChunk = function(indices)