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distances

Aeon provides specialized distance functions for measuring similarity between time series, compatible with both aeon and scikit-learn estimators.

  • Skills
  • Scientific
  • 0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/distances && curl -fsSL https://doutorai.pt/data/lib/skills__distances.md -o .claude/skills/distances/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Distance Metrics

Aeon provides specialized distance functions for measuring similarity between time series, compatible with both aeon and scikit-learn estimators.

## Distance Categories

### Elastic Distances

Allow flexible temporal alignment between series:

**Dynamic Time Warping Family:**
- `dtw` - Classic Dynamic Time Warping
- `ddtw` - Derivative DTW (compares derivatives)
- `wdtw` - Weighted DTW (penalizes warping by location)
- `wddtw` - Weighted Derivative DTW
- `shape_dtw` - Shape-based DTW

**Edit-Based:**
- `erp` - Edit distance with Real Penalty
- `edr` - Edit Distance on Real

- 🔒 Full content on the Pro plan (€7.99/month) -

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