clustering-analyzer
Clustering Analyzer
Analyze and cluster data using multiple algorithms with visualization and evaluation.
Features
- K-Means: Partition-based clustering with elbow method
- DBSCAN: Density-based clustering for arbitrary shapes
- Hierarchical: Agglomerative clustering with dendrograms
- Evaluation: Silhouette scores, cluster statistics
- Visualization: 2D/3D plots, dendrograms, elbow curves
- Export: Labeled data, cluster summaries
Quick Start
from clustering_analyzer import ClusteringAnalyzer
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