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