From b294638cfc5a307ab1beffb6710be9c7c78d5952 Mon Sep 17 00:00:00 2001
From: MAFTOUH Mohammed Amine <mohammed-amine.maftouh@imt-atlantique.net>
Date: Mon, 10 Mar 2025 14:45:37 +0000
Subject: [PATCH] Edit projet_imt.py
---
projet_imt.py | 10 ++++++++--
1 file changed, 8 insertions(+), 2 deletions(-)
diff --git a/projet_imt.py b/projet_imt.py
index 0420e28..dc81f06 100644
--- a/projet_imt.py
+++ b/projet_imt.py
@@ -4,15 +4,21 @@ from clustering.agg_clustering import *
from clustering.mesures_clustering import *
from results.affichage_messages_par_cluster import *
from utils.reduction_dimesion import *
+from utils.reduction_dimension_2d import *
+from results.visualize_clusters import *
def main():
# lecture du fichier csv
df = pd.read_csv("/Users/mac/Desktop/topic_modeling/df_user_messages_new.csv")
# reduction des dimensions
- reduced_embeddings = reduce_embeddings(df, n_components=50, random_state=42)
+ reduced_embeddings = reduce_embeddings(df, n_components=100, random_state=42)
+ # rediction des dimension en 2d pour la visualisation
+ reduced_embeddings_2d = reduce_embeddings_2d(reduced_embeddings, n_components=2, random_state=42)
# clustering
- labels = agglomerative_clustering(reduced_embeddings, n_clusters=14)
+ cluster_labels = agglomerative_clustering(reduced_embeddings, n_clusters=11)
+ # visualisation des clusters en 2D
+ visualize_clusters(reduced_embeddings_2d, cluster_labels, title="Clusters visualisés en 2D")
# metriques de clustering
silhouette_score = compute_silhouette_scores(reduced_embeddings, labels)
# afficher les resultats
--
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