How can I use TensorFlow for clustering applications?

How can I use TensorFlow for clustering applications?

You can use TensorFlow's KMeans or DBSCAN algorithms for clustering. Would you like a code example?

Yes, please provide a code example for KMeans.

Here's a simple example:

import tensorflow as tf
from sklearn.datasets import make_blobs

# Generate sample data
X, _ = make_blobs(n_samples=300, centers=4, cluster_std=0.60, random_state=0)

# Create KMeans model
kmeans = tf.keras.cluster.KMeans(n_clusters=4)

# Fit model
kmeans.fit(X)

# Predict clusters
predictions = kmeans.predict(X)

What are the key parameters I should consider when using KMeans?

Key parameters include the number of clusters (n_clusters), initialization method, and the maximum number of iterations.