kmeans_clustering.F90 File Reference

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Modules
module	kmeans_clustering_oct_m

Functions/Subroutines
subroutine, public	kmeans_clustering_oct_m::assign_points_to_centroids_finite_bc (mesh, centroids, ip_to_ic)
	Assign each grid point to the closest centroid. A centroid and its set of nearest grid points defines a cluster. More...
subroutine, public	kmeans_clustering_oct_m::update_centroids (mesh, weight, ip_to_ic, centroids)
	Compute a new set of centroids. More...
subroutine	kmeans_clustering_oct_m::compute_grid_difference (points, updated_points, tol, points_differ)
	Compute the difference in two grids as \(abs(\mathbf{g}_1 - \mathbf{g}_2)\). More...
subroutine	kmeans_clustering_oct_m::report_differences_in_grids (points, updated_points, tol, points_differ)
	Report differences returned from compute_grid_difference. More...
subroutine, public	kmeans_clustering_oct_m::weighted_kmeans (space, mesh, weight, centroids, n_iter, centroid_tol, discretize, inertia)
	Weighted K-means clustering. More...
subroutine, public	kmeans_clustering_oct_m::sample_initial_centroids (mesh, centroids, seed_value)
	Sample initial centroids from the full mesh. More...
subroutine	kmeans_clustering_oct_m::compute_centroid_inertia (mesh, centroids, weight, ip_to_ic, inertia)
	Compute the inertia of all centroids. More...