User Guide

• 1. Dynamic Time Warping
  • 1.1. Optimization problem
  • 1.2. Algorithmic solution
  • 1.3. Using a different ground metric
  • 1.4. Properties
  • 1.5. Additional constraints
  • 1.6. Barycenters
  • 1.7. soft-DTW
  • 1.8. Examples Involving DTW variants
  • 1.9. References
• 2. Longest Common Subsequence
  • 2.1. Problem
  • 2.2. Algorithmic solution
  • 2.3. Using a different ground metric
  • 2.4. Properties
  • 2.5. Additional constraints
  • 2.6. Examples Involving LCSS variants
  • 2.7. References
• 3. Kernel Methods
  • 3.1. Global Alignment Kernel
  • 3.2. Clustering and Classification
  • 3.3. Examples Using Kernel Methods
  • 3.4. References
• 4. Time Series Clustering
  • 4.1. \(k\)-means and Dynamic Time Warping
  • 4.2. Kernel \(k\)-means and Time Series Kernels
  • 4.3. Examples Using Clustering Estimators
  • 4.4. References
• 5. Shapelets
  • 5.1. Learning Time-series Shapelets
  • 5.2. Implementation note
  • 5.3. Examples Involving Shapelet-based Estimators
  • 5.4. References
• 6. Matrix Profile
  • 6.1. Implementation
  • 6.2. Possible Applications
  • 6.3. Examples Involving Matrix Profile
  • 6.4. References
• 7. Early Classification of Time Series
  • 7.1. Early Classification Cost Function
  • 7.2. Examples Involving Early Classification Estimators
  • 7.3. References