X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=TODO;h=3c1fd78ec8aadcc1ff7a9df076932c2db515f99b;hb=dc1aa85a96bbf815b0d896c22a9b4a539a9e8a9c;hp=cd454f21189bebff085bdbcad0d368c9c560be4d;hpb=65bd7506a22f58e425d5de32cd58b70efad2b2ab;p=epclust.git

diff --git a/TODO b/TODO
index cd454f2..3c1fd78 100644
--- a/TODO
+++ b/TODO
@@ -41,3 +41,28 @@ distor = getDistor("../old_C_code/build", "ppamResult.xml", "2009.bin")
 	 ??
 
 Piste à explorer pour les comparaisons: H20
+
+renvoyer nombre d'individues par classe ? (+ somme ?)
+hypothèse : données déjà ordonnées 48 1/2H sur 365j
+utiliser du mixmod avec modèles allongés
+doit toutner sur machine plutôt standard, utilisateur "lambda"
+utiliser Rcpp ?
+
+=====
+
+trategies for upscaling
+From 25K to 25M : in 1000 chunks of 25K
+Reference values :
+ K 0 = 200 super consumers (SC)
+ K ∗ = 15 nal clusters
+1st strategy
+ Do 1000 times ONLY Energycon's 1st-step strategy on 25K clients
+ With the 1000 × K 0 SC perform a 2-step run leading to K ∗ clusters
+
+--> il faut s'arranger pour que 
+
+2nd strategy
+ Do 1000 times Energycon's 2-step strategy on 25K clients leading to
+ 1000 × K ∗ intermediate clusters
+ Treat the intermediate clusters as individual curves and perform a
+ single 2-step run to get K ∗ nal clusters