ds-utils-unsupervised
CommunityVisualize and optimize unsupervised clustering
Authoridanmoradarthas
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides practical tools to analyze unlabeled data by visualizing clustering results, enabling data scientists to interpret structure without supervision.
Core Features & Use Cases
- Plot cluster cardinality: Visualizes the number of points in each cluster to assess balance and detect anomalies.
- Plot cluster magnitude: Shows total distance from points to their cluster centers to gauge cluster compactness.
- Plot magnitude vs cardinality: Detects anomalous clusters by comparing magnitude to cardinality.
- Plot loss vs cluster number: Assists in selecting the optimal k by evaluating within-cluster loss across k values.
Quick Start
Run plot_cluster_cardinality on your fitted labels to visualize cluster sizes and use plot_loss_vs_cluster_number to identify the optimal number of clusters.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: ds-utils-unsupervised Download link: https://github.com/idanmoradarthas/DataScienceUtils/archive/main.zip#ds-utils-unsupervised Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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