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Impact of seeds on distinct clusters

You noticed the impact of seeds on a dataset that did not have well-defined groups of clusters. In this exercise, you will explore whether seeds impact the clusters in the Comic Con data, where the clusters are well-defined.

The data is stored in a pandas DataFrame, comic_con. x_scaled and y_scaled are the column names of the standardized X and Y coordinates of people at a given point in time.

This exercise is part of the course

Cluster Analysis in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import random class
____

# Initialize seed
random.____(____)

# Run kmeans clustering
cluster_centers, distortion = kmeans(comic_con[['x_scaled', 'y_scaled']], 2)
comic_con['cluster_labels'], distortion_list = vq(comic_con[['x_scaled', 'y_scaled']], cluster_centers)

# Plot the scatterplot
sns.scatterplot(x='x_scaled', y='y_scaled', 
                hue='cluster_labels', data = comic_con)
plt.show()
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