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Hierarchical Clustering and Dendrogram Analysis

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This repository contains Python code for performing hierarchical clustering analysis on a dataset and generating dendrograms. The code is designed to work with data represented as a squared Euclidean distance matrix.

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This project demonstrates how to perform hierarchical clustering analysis using a squared Euclidean distance matrix. It also includes code to generate dendrograms, which provide insights into the relationships between data points in the dataset.

Prerequisites

Before running the code, make sure you have the following dependencies installed:

  • Python 3
  • NumPy
  • Pandas
  • SciPy
  • Matplotlib

You can install most of these libraries using pip or conda.

pip install numpy pandas scipy matplotlib

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HCA algorithm to cluster objects by single linkage method.

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