Problem 4: Visualize K-Means Clusters and Centroids
Easypython
Learn the Concept: K-Means ClusteringProblem Description
Write a Python program that fits a K-Means model to a dataset and creates a scatter plot showing each cluster in a different color, with centroids marked distinctly.
Input
A 2D dataset with visually distinct groups.
Output
A displayed scatter plot with color-coded clusters and marked centroids.
Constraints
- At least 6 points.
Example Input
text[[2,3],[3,3],[2,4],[8,8],[9,8],[8,9]]
Example Output
text(A scatter plot with two colors representing the two clusters, and red X marks for centroids)
Concepts Covered
KMeans, plt.scatter() with color coding.
Related Problems
- Problem 1: Apply K-Means with a Known Number of ClustersEasy · pythonSolve Problem
- Problem 2: Implement the Elbow MethodEasy · pythonSolve Problem
- Problem 3: Print Centroid Locations and InertiaEasy · pythonSolve Problem