📅 2025-05-17 — Session: Developed Modular Clustering Script
🕒 21:30–22:25
🏷️ Labels: Clustering, Data Processing, Modularization, Chromadb, Notebooks
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The aim of this session was to develop and organize a modular structure for clustering scripts and data processing pipelines.
Key Activities
- Identified potential sources for clustering scripts and related information.
- Developed Bash and Unix commands to locate and manage Jupyter notebooks.
- Proposed and outlined a modular structure for data processing and clustering using ChromaDB.
- Created a notebook for data extraction and preprocessing, connecting to ChromaDB and exporting data to CSV.
- Discussed efficient file formats for saving embeddings.
- Provided Python code for listing collection names in Chroma.
- Organized notebooks for feature engineering and clustering with HDBSCAN and UMAP.
Achievements
- Established a clear modular structure for data processing and clustering.
- Implemented data extraction and preprocessing workflows.
- Enhanced understanding of efficient data storage formats.
Pending Tasks
- Further refinement and testing of the proposed modular structure.
- Implementation of the full clustering pipeline using the outlined notebooks.