Enhanced Dendrogram Visualization and Wiki Structuring

• Day: 2025-05-22
• Time: 06:25 to 07:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Dendrogram, Visualization, Docusaurus, Clustering, Semantic Embeddings

Description

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.

Evidence

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• event_ids: []