📅 2025-05-22 — Session: Enhanced Dendrogram Visualization and Wiki Structuring
🕒 06:25–07:25
🏷️ Labels: Dendrogram, Visualization, Docusaurus, Clustering, Semantic Embeddings
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session focused on enhancing dendrogram visualization techniques and structuring a Docusaurus wiki for better knowledge management and user interaction.
Key Activities
- Improved dendrogram visualization by refining cluster separation, tick label readability, and layout.
- Refined TF-IDF vectorization and dendrogram visualization code for clarity in clustering.
- Discussed the use of Chroma embeddings for clustering, emphasizing semantic over TF-IDF methods.
- Provided Python code for hierarchical clustering using semantic embeddings.
- Extracted sorted IDs from hierarchical clustering using
scipy. - Analyzed dendrogram drift to formalize cluster boundaries and enhance knowledge organization.
- Explored thematic analysis of dendrogram’s peripheral themes for operational knowledge.
- Designed a structured plan for Docusaurus section architecture focusing on content organization and user intent.
- Mapped dendrogram entries to proposed wiki sections, aligning with strategic content framing.
Achievements
- Enhanced dendrogram visualization techniques were developed and documented.
- A comprehensive plan for Docusaurus wiki structuring was created, including section architecture and content mapping.
Pending Tasks
- Implement the proposed Docusaurus section architecture and integrate the mapped dendrogram entries into the wiki.
- Continue refining clustering techniques with semantic embeddings for better data insights.