DataCamp

Hierarchical clustering of the grain data

In the video, you learned that the SciPy linkage() function performs hierarchical clustering on an array of samples. Use the linkage() function to obtain a hierarchical clustering of the grain samples, and use dendrogram() to visualize the result. A sample of the grain measurements is provided in the array samples, while the variety of each grain sample is given by the list varieties.

Import:
- linkage and dendrogram from scipy.cluster.hierarchy.
- matplotlib.pyplot as plt.
Perform hierarchical clustering on samples using the linkage() function with the method='complete' keyword argument. Assign the result to mergings.
Plot a dendrogram using the dendrogram() function on mergings. Specify the keyword arguments labels=varieties, leaf_rotation=90, and leaf_font_size=6.

Take Hint (-30xp)

Exercise

Hierarchical clustering of the grain data

Instructions