def multi_knee(points: np.ndarray, t1: float = 0.01, t2: int = 4) -> np.ndarray:
"""Recursive knee point detection based on the menger curvature.
It returns the knee points on the curve.
Args:
points (np.ndarray): numpy array with the points (x, y)
t1 (float): coefficient of determination threshold (default 0.01)
t2 (int): number of points threshold (default 4)
Returns:
np.ndarray: knee points on the curve
"""
return mk.multi_knee(knee, points, t1, t2)
def multi_knee(points, t1=0.99, t2=3):
"""
Recursive knee point detection based on Kneedle.
It returns the knee points on the curve.
Args:
points (np.ndarray): numpy array with the points (x, y)
t1 (float): coefficient of determination threshold (default 0.99)
t2 (int): number of points threshold (default 3)
Returns:
np.ndarray: knee points on the curve
"""
knees = mk.multi_knee(auto_knee, points, t1, t2)
return knees
