Implement DataClusterView for Data Analysis and Clustering

[StephenTheodore]

Goal

Implement DataClusterView and ViewModel for analyzing stored face metadata and performing clustering analysis.

Requirements

• Design DataClusterView.axaml for data visualization
• Implement DataClusterViewModel.cs with clustering algorithms
• Add data filtering and search capabilities
• Implement clustering visualization (charts, graphs)
• Add statistical analysis of stored metadata
• Create export functionality for analysis results

Features to Implement

• Data Grid: Display stored face analysis records
• Clustering Algorithms: K-means, hierarchical clustering on facial features
• Visualization: Charts showing age/gender/emotion distributions
• Filtering: Date ranges, metadata criteria, clustering results
• Statistics: Summary stats, trends, demographic breakdowns
• Export: CSV, JSON export of clustered data

Acceptance Criteria

• DataClusterView UI designed and functional
• ViewModel implements clustering algorithms
• Data visualization working (charts/graphs)
• Filtering and search operational
• Statistical analysis implemented
• Export functionality working
• Performance optimized for large datasets

Priority

Medium - Advanced analysis feature

Labels

enhancement, ui, clustering, data-analysis, visualization