Public Member Functions | |
def | __init__ (self, points=None, distance_matrix=None, k=1, q=2, max_filtration=float('inf')) |
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def | __init__ (self, distance_matrix, weights=None, max_filtration=float('inf')) |
def | create_simplex_tree (self, max_dimension) |
Class to generate a DTM Rips complex from a distance matrix or a point set, in the way described in :cite:`dtmfiltrations`. Remark that all the filtration values are doubled compared to the definition in the paper for the consistency with RipsComplex. :Requires: `SciPy <installation.html#scipy>`_
def gudhi.dtm_rips_complex.DTMRipsComplex.__init__ | ( | self, | |
points = None , |
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distance_matrix = None , |
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k = 1 , |
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q = 2 , |
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max_filtration = float('inf') |
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) |
Args: points (numpy.ndarray): array of points. distance_matrix (numpy.ndarray): full distance matrix. k (int): number of neighbors for the computation of DTM. Defaults to 1, which is equivalent to the usual Rips complex. q (float): order used to compute the distance to measure. Defaults to 2. max_filtration (float): specifies the maximal filtration value to be considered.
GUDHI Version 3.3.0 - C++ library for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding. - Copyright : MIT | Generated on Tue Aug 11 2020 11:58:59 for GUDHI by Doxygen 1.8.18 |