📅 2025-05-22 — Session: Enhanced Dendrogram Visualization and Docusaurus Structuring
🕒 06:25–07:20
🏷️ Labels: Dendrogram, Visualization, Docusaurus, Clustering, Knowledge Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance dendrogram visualizations and structure content in 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 code for better clustering clarity.
- Advocated using Chroma embeddings for semantic clustering over TF-IDF.
- Developed Python code for hierarchical clustering with visualization improvements.
- Extracted sorted IDs from hierarchical clustering using Python’s
scipy
. - Analyzed dendrogram drift to formalize cluster boundaries and enhance knowledge organization.
- Designed a Docusaurus section architecture focusing on user intent and content function.
- Provided user intent examples for LLM tools and automation in the Docusaurus context.
- Visualized the Docusaurus wiki structure and proposed sectional plans for content organization.
- Mapped dendrogram entries and summaries to the Docusaurus wiki structure.
Achievements
- Successfully improved dendrogram visualizations and provided a structured plan for organizing Docusaurus content.
- Created a comprehensive framework for integrating dendrogram insights into the Docusaurus wiki.
Pending Tasks
- Implement the proposed Docusaurus section architecture and integrate the mapped dendrogram entries into the wiki.