Project

The wildfire clustering project uses k-means clustering to group wildfire records geographically.
K-means clustering is an example of the successive approximation computational technique for finding or optimizing a solution to a problem.

In addition to successive approximation, the wildfire clustering project uses parallel arrays to represent the evolving set of clusters, and values in one array (list in Python) as indexes to other arrays.