# \[ANN\] HorseML.jlv0.4.1: Many ML algorithms

**URL:** <https://discourse.julialang.org/t/ann-horseml-jlv0-4-1-many-ml-algorithms/80703>\
**Category:** Package Announcements\
**Created:** [May 8, 2022, 10:11am UTC](https://discourse.julialang.org/t/ann-horseml-jlv0-4-1-many-ml-algorithms/80703 "2022-05-08T10:11:41Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![QGMW22](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/qgmw22/32/30765_2.png) [@QGMW22](https://discourse.julialang.org/u/QGMW22)\
**Post date:** [May 8, 2022, 10:11am UTC](https://discourse.julialang.org/t/ann-horseml-jlv0-4-1-many-ml-algorithms/80703/1 "2022-05-08T10:11:41Z")

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I released a new version of [HorseML](https://github.com/MommaWatasu/HorseML.jl). I’m developing this package as ML package with which you can use many algorithms easily.

I’ve added some algorithms of Clustering to this package. The added algorithms is:

- Xmeans
- DBSCAN
- HDBSCAN

These algorithms enable parameter-free clustering and clustering of datasets that Kmeans or GMM cannot.

parameter-free clustering:  
 ![xmeans](https://global.discourse-cdn.com/julialang/original/3X/8/a/8a774b6d3cfaf3bd3d97b837a26c790eb2922347.png)

For more detailes, please see the [docs](https://mommawatasu.github.io/HorseML.jl/stable/).

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**Author:** ![j\_u](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/j_u/32/219081_2.png) [@j\_u](https://discourse.julialang.org/u/j_u)\
**Post date:** [May 11, 2022, 12:53pm UTC](https://discourse.julialang.org/t/ann-horseml-jlv0-4-1-many-ml-algorithms/80703/2 "2022-05-11T12:53:42Z")

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Thanks @QGMW22! Really appreciate and can’t wait to test this new version on my examples.