clustering

Aeon provides clustering algorithms adapted for temporal data with specialized distance metrics and averaging methods.

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.

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

Install (Claude Code)

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

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

Content

# Time Series Clustering

Aeon provides clustering algorithms adapted for temporal data with specialized distance metrics and averaging methods.

## Partitioning Algorithms

Standard k-means/k-medoids adapted for time series:

- `TimeSeriesKMeans` - K-means with temporal distance metrics (DTW, Euclidean, etc.)
- `TimeSeriesKMedoids` - Uses actual time series as cluster centers
- `TimeSeriesKShape` - Shape-based clustering algorithm
- `TimeSeriesKernelKMeans` - Kernel-based variant for nonlinear patterns

**Use when**: Known number of clusters, spherical cluster shapes expected.

## Large Datas

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

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