diff --git a/clustering/fonctions_clustering.py b/clustering/agg_clustering.py
similarity index 50%
rename from clustering/fonctions_clustering.py
rename to clustering/agg_clustering.py
index 13052dda89c666ed3f178cb5a97dbb8364b7d1ee..b8a25e2de281bcc70e242b44dcf3e108f9d37890 100644
--- a/clustering/fonctions_clustering.py
+++ b/clustering/agg_clustering.py
@@ -9,15 +9,3 @@ def agglomerative_clustering(reduced_embeddings, n_clusters):
     agg_clustering = AgglomerativeClustering(n_clusters=n_clusters)
     agg_labels = agg_clustering.fit_predict(reduced_embeddings)
     return agg_labels
-
-def gaussian_mixture(reduced_embeddings, n_clusters):
-    """
-    Applique le modèle de mélange gaussien (GMM) avec un nombre fixe de clusters.
-    
-    :param reduced_embeddings: embeddings
-    :param n_clusters: Nombre de clusters
-    :return: Labels prédits
-    """
-    gmm = GaussianMixture(n_components=n_clusters, random_state=42)
-    gmm_labels = gmm.fit_predict(reduced_embeddings)
-    return gmm_labels
\ No newline at end of file