How do I evaluate the quality of the clusters?

The skill provides performance metrics such as silhouette scores and the Davies-Bouldin index to help you determine the mathematical validity of the resulting clusters.

Can I see the results visually?

Absolutely. The skill generates visualizations such as scatter plots with cluster labels to help you intuitively understand the groupings found in your data.

Does this skill handle data preprocessing?

Yes, it includes logic for scaling, normalization, and handling data validation to ensure the clustering algorithms perform accurately on your specific dataset.

Which clustering algorithms are supported by this skill?

The skill supports several popular algorithms including K-means, DBSCAN, and hierarchical clustering, typically implemented via Python's scikit-learn library.

Is this skill useful for anomaly detection?

Yes, by utilizing algorithms like DBSCAN, the skill is highly effective at identifying outliers and anomalous data points within a larger dataset.

Clustering Algorithm Runner

Name: Clustering Algorithm Runner
Author: BbgnsurfTech

byBbgnsurfTech

•

データサイエンスとML

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

概要

This skill enables Claude to perform comprehensive cluster analysis using industry-standard algorithms like K-means, DBSCAN, and hierarchical clustering. It streamlines the data science workflow by automatically handling data preprocessing, model execution, and performance evaluation. By generating production-ready Python code, it provides developers and data analysts with immediate insights into data structures, customer segments, or anomalous patterns, complete with statistical metrics and visual representations.

主な機能

Performance evaluation using silhouette scores and Davies-Bouldin indices
3 GitHub stars
Generation of visual artifacts such as scatter plots and cluster labels
Automated execution of K-means, DBSCAN, and hierarchical clustering algorithms
Integrated data preprocessing including feature scaling and normalization
Support for common data formats including CSV and text-based datasets

ユースケース

Anomaly detection in network traffic or logs to identify outliers and security threats
Exploratory data analysis to uncover hidden structures within unlabeled datasets
Customer segmentation to identify distinct behavioral groups for targeted marketing strategies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bbgnsurftech/claude-skills-collection clustering-algorithm-runner

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要