From 55316205b2c7c2e3d7e3fe3ea92e20f3f8b29b11 Mon Sep 17 00:00:00 2001 From: yuichi-ike Date: Tue, 26 May 2020 18:22:14 +0900 Subject: test fixed, documents modified --- src/python/doc/rips_complex_user.rst | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) (limited to 'src/python/doc/rips_complex_user.rst') diff --git a/src/python/doc/rips_complex_user.rst b/src/python/doc/rips_complex_user.rst index 450e6c1a..dd2f2cc0 100644 --- a/src/python/doc/rips_complex_user.rst +++ b/src/python/doc/rips_complex_user.rst @@ -378,7 +378,7 @@ Example from a point cloud combined with DistanceToMeasure ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Combining with DistanceToMeasure, one can compute the DTM-filtration of a point set, as in `this notebook `_. -Remark that DTMRipsComplex class provides exactly this function. +Remark that `DTMRipsComplex `_ class provides exactly this function. .. testcode:: @@ -400,10 +400,12 @@ The output is: [(0, (3.1622776601683795, inf)), (0, (3.1622776601683795, 5.39834563766817)), (0, (3.1622776601683795, 5.39834563766817))] +.. _dtm-rips-complex: + DTM Rips Complex ---------------- -`DTMRipsComplex `_ builds a simplicial complex from a point set or a full distence matrix (in the form of ndarray), as described in the above example. +`DTMRipsComplex `_ builds a simplicial complex from a point set or a full distance matrix (in the form of ndarray), as described in the above example. This class constructs a weighted Rips complex giving larger weights to outliers, which reduces their impact on the persistence diagram. See `this notebook `_ for some experiments. .. testcode:: -- cgit v1.2.3