Welcome to kClusterLib’s documentation!

Contents:

• 1. API
  • 1.1. Introduction
  • 1.2. Components
• 2. DB Connector (module)
• 3. KC Tools (module)
• 4. FILTER (module)
• 5. PCA (module)
• 6. Gross Error (module)
• 7. kcluster( usage.py ) (module)
• 8. Usage example
  • 8.1. Demo mode
  • 8.2. Data fetching from database
  • 8.3. Elimination of faulty sensors
  • 8.4. Filtering of sensor data
  • 8.5. Masking
  • 8.6. Mean centering and scaling
  • 8.7. Data combining
  • 8.8. Clustering
  • 8.9. Saving data to disk

Indices and tables

• Index
• Module Index
• Search Page