cluster

type Config struct {
	K         int     // Number of clusters
	MaxIter   int     // Maximum iterations (default: 100)
	Tolerance float64 // Convergence tolerance (default: 1e-4)
	Seed      int64   // Random seed
	NumInit   int     // Number of initializations to try (default: 1). Best inertia wins.
}

type KMeans struct {
	K          int         // Number of clusters
	MaxIter    int         // Maximum iterations
	Tolerance  float64     // Convergence tolerance
	Seed       int64       // Random seed for reproducibility
	NumInit    int         // Number of initializations (best inertia wins)
	Centroids  [][]float64 // Cluster centroids (after Fit)
	Labels     []int       // Cluster assignment for each vector (after Fit)
	Iterations int         // Actual iterations run
	Inertia    float64     // Final inertia (sum of squared distances to centroids)
}