This is the mathematical notation of a gradient of a function with an x and y dimension. The gradient is a vector made of the partial derivatives of the function with respect to each input to the function, represented as a vector. True gradients are both more accurate, and faster to compu...
(n_samples=300, noise=0.05, random_state=42) # Apply DBSCAN dbscan = DBSCAN(eps=0.2, min_samples=5) clusters = dbscan.fit_predict(X) # Plotting the clusters plt.scatter(X[:, 0], X[:, 1], c=clusters, cmap='viridis') plt.xlabel('Feature 1') plt.ylabel('Feature 2') plt....