How can I visualize clustering results in TensorFlow?

How can I visualize clustering results in TensorFlow?

You can use TensorFlow's built-in visualization tools like TensorBoard or libraries like Matplotlib to visualize clustering results.

Can you show me an example of using Matplotlib for this?

Sure! You can plot the clusters by using scatter plots. Here's a simple code snippet:

import matplotlib.pyplot as plt

# Assuming 'data' is your dataset and 'labels' are your cluster labels
plt.scatter(data[:, 0], data[:, 1], c=labels, cmap='viridis')
plt.title('Clustering Results')
plt.xlabel('Feature 1')
plt.ylabel('Feature 2')
plt.show()

What if I want to visualize high-dimensional data?

For high-dimensional data, you can use techniques like PCA or t-SNE to reduce dimensions before visualization. Would you like an example?