quantum-error-correction-simulator v1.0.0

Hierarchical Clustering Algorithm

The Hierarchical Clustering Algorithm is a Python class that implements hierarchical clustering for data clustering tasks. It allows users to cluster data points into a predefined number of clusters based on their similarity.

Usage:

1. Initialize the HierarchicalClustering object with the desired number of clusters and linkage method.
2. Fit the model to the data using the fit method.
3. Predict cluster labels for new data points using the predict method.

Features:

• Supports different linkage methods including single, complete, and average linkage.
• Customizable number of clusters for clustering tasks.
• Efficient implementation of the hierarchical clustering algorithm.

Requirements:

• Python 3.x
• NumPy