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| author | Vincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com> | 2020-07-02 12:25:08 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-07-02 12:25:08 -0700 |
| commit | 444ec77fe16783c35ef86598011a662c5d6e8d92 (patch) | |
| tree | 5020b95c18d0206fe8e693a40d1e4aaf132d6a51 /.github/next_release.md | |
| parent | 3c7a4d01ec758d68a219fae8981c9847cf8d7a0f (diff) | |
| parent | e44b0a88e2241f81b51b9060f73ac86f53c9cfc1 (diff) | |
Merge pull request #281 from VincentRouvreau/edge_collapse_integration_vincent
Edge collapse integration vincent
Diffstat (limited to '.github/next_release.md')
| -rw-r--r-- | .github/next_release.md | 10 |
1 files changed, 8 insertions, 2 deletions
diff --git a/.github/next_release.md b/.github/next_release.md index cc868db7..e73f7c96 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -1,8 +1,10 @@ We are pleased to announce the release 3.3.0 of the GUDHI library. -As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm and weighted Rips complex using DTM. +As a major new feature, the GUDHI library now offers a persistence-based clustering algorithm, weighted Rips complex using DTM +and edge collapse. -We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.3.0.tar.gz). +The GUDHI library is hosted on GitHub, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). +From a user point of view, we recommend to download GUDHI user version (gudhi.3.3.0.tar.gz). Below is a list of changes made since GUDHI 3.2.0: @@ -21,6 +23,10 @@ Below is a list of changes made since GUDHI 3.2.0: - [Clustering](https://gudhi.inria.fr/python/latest/clustering.html) - Python implementation of [ToMATo](https://doi.org/10.1145/2535927), a persistence-based clustering algorithm +- [Edge Collapse](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html) of a filtered flag complex + - This C++ implementation reduces a filtration of Vietoris-Rips complex from its graph to another smaller + flag filtration with the same persistence. + - [Bottleneck distance](https://gudhi.inria.fr/python/latest/bottleneck_distance_user.html) - Python interface to [hera](https://github.com/grey-narn/hera)'s bottleneck distance |