PlotClusters Function for Visualizing Clusters in 2D or 3D Using MATLAB

The PlotClusters function is used for visualizing clustering data, such as the output from k-means, in 2D or 3D. The inputs include:

• Data: An m×d matrix, where m is the number of data points and d is the number of dimensions.
• IDX: An m×1 vector that associates each data point with a cluster.

Optional inputs:

- Centers: A c×d matrix representing the c cluster centers. If not provided, the function will compute them.

- Colors: A c×3 matrix generated using the hsv command, where the number of colors must be at least equal to the number of clusters.

The function uses plot or plot3 for visualizing the clusters in 2D or 3D, respectively. Note: This function has been tested only on MATLAB version 2008a on Windows but should work for all versions.