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Diffstat (limited to 'dev-python/hdbscan/metadata.xml')
| -rw-r--r-- | dev-python/hdbscan/metadata.xml | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/dev-python/hdbscan/metadata.xml b/dev-python/hdbscan/metadata.xml new file mode 100644 index 000000000..3e9aab1c5 --- /dev/null +++ b/dev-python/hdbscan/metadata.xml @@ -0,0 +1,29 @@ +<?xml version='1.0' encoding='UTF-8'?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <maintainer type="person"> + <email>gentoo@chymera.eu</email> + <name>Horea Christian</name> + </maintainer> + <maintainer type="project"> + <email>sci@gentoo.org</email> + <name>Gentoo Science Project</name> + </maintainer> + <longdescription lang="en"> + HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with + Noise. Performs DBSCAN over varying epsilon values and integrates the result + to find a clustering that gives the best stability over epsilon. This allows + HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more + robust to parameter selection. + + In practice this means that HDBSCAN returns a good clustering straight away + with little or no parameter tuning -- and the primary parameter, minimum + cluster size, is intuitive and easy to select. HDBSCAN is ideal for + exploratory data analysis; it's a fast and robust algorithm that you can + trust to return meaningful clusters (if there are any). + </longdescription> + <upstream> + <remote-id type="github">scikit-learn-contrib/hdbscan</remote-id> + <remote-id type="pypi">hdbscan</remote-id> + </upstream> +</pkgmetadata> |