Cluster data using K-Means or DBSCAN
Group data points into clusters using unsupervised learning.
When the user has unlabeled data and wants to find natural groupings, segments, or patterns.
If the user doesn't specify k, suggest the elbow method:
use ix_unsupervised::kmeans::KMeans;
use ix_unsupervised::dbscan::DBSCAN;
// K-Means
let model = KMeans::new(k, max_iter, seed);
let assignments = model.fit(&data);
// DBSCAN
let model = DBSCAN::new(eps, min_points);
let labels = model.fit(&data); // -1 = noise