compat.v0.Cluster

class compat.v0.Cluster(radial: bool = True, box: bool = False)

Bases: object

Base cluster class.

__init__(radial: bool = True, box: bool = False)

Cluster constructor.

Parameters:

• radial (bool) – TODO

• box (bool) – TODO

Methods

__init__([radial, box])	Cluster constructor.
add_point(x[, i])	Adds a point to the cluster.
avg_distance(x[, norm_ord])	Gets the average distance of a point.
center_distance(x[, norm_ord])	Gets the center distance of a point.
min_distance(x[, norm_ord])	Calculates the minimum distance to the nearest cluster.
within_bounding_box(x)	Checks if a point is within a bounding box.

add_point(x: ndarray, i: int | None = None)

Adds a point to the cluster.

Parameters:

• x (np.ndarray) – TODO

• i (Optional[int]) – TODO

avg_distance(x: ndarray, norm_ord: int | None = 2) → float

Gets the average distance of a point.

Parameters:

• x (np.ndarray) – TODO

• norm_ord (Optional[int]) – TODO

center_distance(x: ndarray, norm_ord: int | None = 2)

Gets the center distance of a point.

Parameters:

• x (np.ndarray) – TODO

• norm_ord (Optional[int]) – TODO

min_distance(x: ndarray, norm_ord: int | None = 2)

Calculates the minimum distance to the nearest cluster.

Parameters:

• x (np.ndarray) – TODO

• norm_ord (Optional[int]) – TODO

within_bounding_box(x: ndarray)

Checks if a point is within a bounding box.

Parameters:

x (np.ndarray) – TODO