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| title: Clustering Analyzer | |
| emoji: 🧩 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| # Document & Artifact Clustering Analyzer | |
| An interactive computational tool designed for digital humanities and social science students to automatically group similar documents, articles, or transcripts using unsupervised machine learning. | |
| ### Features | |
| 1. **Multi-Model Clustering**: Choose between K-Means and Agglomerative Hierarchical clustering. | |
| 2. **Dynamic 2D Projections**: Project high-dimensional text vectors into a 2D scatter plot using PCA (SVD) or t-SNE. | |
| 3. **Representative Keywords Extraction**: Identify the top TF-IDF words characterizing each cluster subgroup. | |
| 4. **Data Exports**: Download the full dataset labeled with assigned cluster IDs. | |