From: Benjamin Goehry <benjamin.goehry@math.u-psud.fr>
Date: Tue, 10 Jan 2017 10:31:01 +0000 (+0100)
Subject: typo + changement de clustering initial (mclust -> hclust)
X-Git-Url: https://git.auder.net/doc/current/%7B%7B%20asset%28%27mixstore/css/static/%7B%7B%20pkg.url%20%7D%7D?a=commitdiff_plain;h=4725af564bfdbeb40d0caf7f124ab94ac05a97eb;p=valse.git

typo + changement de clustering initial (mclust -> hclust)
---

diff --git a/R/initSmallEM.R b/R/initSmallEM.R
index b70eea9..c836523 100644
--- a/R/initSmallEM.R
+++ b/R/initSmallEM.R
@@ -13,7 +13,7 @@ initSmallEM = function(k,X,Y,tau)
 	m = ncol(Y)
 	p = ncol(X)
   
-	Zinit1 = array(0, dim=c(n,20)) #doute sur la taille
+	Zinit1 = array(0, dim=c(n,20)) 
 	betaInit1 = array(0, dim=c(p,m,k,20))
 	sigmaInit1 = array(0, dim = c(m,m,k,20))
 	phiInit1 = array(0, dim = c(p,m,k,20))
@@ -24,12 +24,12 @@ initSmallEM = function(k,X,Y,tau)
 	LLFinit1 = list()
 
 	require(MASS) #Moore-Penrose generalized inverse of matrix
-	require(mclust) # K-means with selection of K
 	for(repet in 1:20)
 	{
-		clusters = Mclust(X,k) #default distance : euclidean  #Mclust(matrix(c(X,Y)),k)
-		Zinit1[,repet] = clusters$classification
-		
+	  distance_clus = dist(X)
+	  tree_hier = hclust(distance_clus)
+	  Zinit1[,repet] = cutree(tree_hier, k)
+
 		for(r in 1:k)
 		{
 			Z = Zinit1[,repet]
@@ -39,7 +39,7 @@ initSmallEM = function(k,X,Y,tau)
 			
 			betaInit1[,,r,repet] = ginv( crossprod(X[Z_indice,]) )   %*%   crossprod(X[Z_indice,], Y[Z_indice,]) 
 			sigmaInit1[,,r,repet] = diag(m)
-			phiInit1[,,r,repet] = betaInit1[,,r,repet]/sigmaInit1[,,r,repet]
+			phiInit1[,,r,repet] = betaInit1[,,r,repet] #/ sigmaInit1[,,r,repet]
 			rhoInit1[,,r,repet] = solve(sigmaInit1[,,r,repet])
 			piInit1[repet,r] = sum(Z_vec)/n
 		}
@@ -48,7 +48,7 @@ initSmallEM = function(k,X,Y,tau)
 		{
 			for(r in 1:k)
 			{
-				dotProduct = (Y[i,]%*%rhoInit1[,,r,repet]-X[i,]%*%phiInit1[,,r,repet]) %*% (Y[i,]%*%rhoInit1[,,r,repet]-X[i,]%*%phiInit1[,,r,repet])
+				dotProduct = tcrossprod(Y[i,]%*%rhoInit1[,,r,repet]-X[i,]%*%phiInit1[,,r,repet])
 				Gam[i,r] = piInit1[repet,r]*det(rhoInit1[,,r,repet])*exp(-0.5*dotProduct)
 			}
 			sumGamI = sum(Gam[i,])
@@ -58,8 +58,7 @@ initSmallEM = function(k,X,Y,tau)
 		miniInit = 10
 		maxiInit = 11
 		
-		new_EMG = .Call("EMGLLF_core",phiInit1[,,,repet],rhoInit1[,,,repet],piInit1[repet,],
-										gamInit1[,,repet],miniInit,maxiInit,1,0,X,Y,tau)
+		new_EMG = .Call("EMGLLF_core",phiInit1[,,,repet],rhoInit1[,,,repet],piInit1[repet,],gamInit1[,,repet],miniInit,maxiInit,1,0,X,Y,tau)
 		LLFEessai = new_EMG$LLF
 		LLFinit1[repet] = LLFEessai[length(LLFEessai)]
 	}