magnet.aggmodels.kmeans.KMEANS

class magnet.aggmodels.kmeans.KMEANS

Bases: AgglomerationModel

Kmeans algorithm applied to mesh agglomeration.

Constructor

__init__()

Methods

direct_k_way(mesh, k)

Bisect the mesh recursively a set number of times.

direct_k_way(mesh: Mesh, k: int) → List[ndarray[int]]

Bisect the mesh recursively a set number of times.

The agglomearated mesh will have (at most) 2^`Nref` agglomerated elements.

Parameters:

• mesh (Mesh) – Mesh to be bisected.

• Nref (int) – Number of times to recursively bisect the mesh.

Returns:

A list of arrays, each containing the indices of the elements corresponding to one of the agglomerated elements.

Return type:

Classlist

Inherited Methods

__init__()
agglomerate(mesh[, mode, nref, mult_factor])	Agglomerate a mesh.
agglomerate_dataset(dataset, **kwargs)	Agglomerate all meshes in a dataset.
bisect(mesh)	Bisect the mesh once.
bisection_Nref(mesh, Nref[, warm_start])	Bisect the mesh recursively a set number of times.
bisection_mult_factor(mesh, mult_factor[, ...])	Bisect a mesh until the agglomerated elements are small enough.
bisection_segregated(mesh, mult_factor[, subset])	Bisect heterogeneous mesh until elements are small enough.
coarsen(mesh, subset[, mode, nref, mult_factor])	Coarsen a subregion of the mesh.
multilevel_bisection(mesh[, refiner, ...])