quantum-error-correction-simulator
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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.
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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:
- Initialize the HierarchicalClustering object with the desired number of clusters and linkage method.
- Fit the model to the data using the
fitmethod. - Predict cluster labels for new data points using the
predictmethod.
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