More Clustering

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Work with your assigned partner to write a series of Python scripts to fit Agglomerative clustering, K-Means, and DBSCAN to this landmine dataset.

This dataset has the answer included which is uncommon for unsupervised learning (clustering). The outcome field is M i.e. the mine type.

Make sure to do model selection and random restarts and answer the following questions:

1. How many clusters are present in the data?
2. What are their centers/What does each cluster mean?
3. How many clusters do each model report?
4. Which models perform best on each data set? Measure the discovered clusters versus the mine type field.

Find a way to plot the results.

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1. GFU
2. CSIS
3. J. Walker Orr
4. CSIS 441