Does it handle messy data?

Yes, the skill includes automated data validation and preprocessing steps such as scaling and normalization to ensure the clustering results are accurate.

Which clustering algorithms are supported by this skill?

The skill supports popular algorithms including K-means, DBSCAN, and hierarchical clustering, allowing for various types of grouping and anomaly detection.

Can I use this for anomaly detection?

Absolutely. By utilizing density-based algorithms like DBSCAN, this skill is highly effective at identifying outliers and anomalous data points.

What kind of output will Claude provide?

Claude will provide cluster assignments, performance metrics (like silhouette scores), and visual representations such as scatter plots to help you interpret the results.

Clustering Algorithm Runner

Name: Clustering Algorithm Runner
Author: jeremylongshore

byjeremylongshore

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883

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Ciencia de Datos y ML

Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.

This skill empowers Claude to perform sophisticated cluster analysis using industry-standard algorithms like K-means, DBSCAN, and hierarchical clustering. It automates the entire machine learning workflow—from data preprocessing and feature scaling to model execution and performance evaluation—allowing users to identify distinct segments, detect anomalies, and uncover hidden structures in their data. By generating and running optimized Python code, it provides immediate insights through both statistical metrics and visual artifacts like scatter plots.

Características Principales

01Automated execution of K-means, DBSCAN, and hierarchical clustering algorithms

02Automatic generation of visual artifacts such as cluster maps and scatter plots

03883 GitHub stars

04Smart parameter tuning and algorithm selection based on data characteristics

05Built-in data preprocessing including scaling and normalization

06Comprehensive performance evaluation using silhouette scores and Davies-Bouldin indices

Casos de Uso

01Detecting anomalous network traffic patterns to improve cybersecurity monitoring

02Discovering natural groupings in scientific or financial datasets for structural analysis

03Segmenting customer data to identify distinct personas for marketing analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills skill-adapter

For use in Claude.ai and ChatGPT

Download Skill