Agglomerative Clustering Implementation

Algorithm:

1. Create n clusters, one for each data point
2. Compute the Proximity Matrix which wil be a (nxn) matrix
3. Repeat:

	i. Merge the closest clusters
	ii. Update the proximity matrix
  
  Until: Only a single cluster remains

Getting ready

First setup virtual environment, activate it install the essentials.

Install the essentials first

pip install -r requirements.txt

Running the application

streamlit run app.py

Note: Make sure you're inside the root folder where app.py is there.

Acknowledgement

Coursera course: Machine Learning with Python by IBM

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.