Releases: kno10/python-kmedoids
Releases · kno10/python-kmedoids
v0.5.1
v0.5.0
v0.4.3
kmedoids 0.4.2
kmedoids 0.4.2 (2023-03-07)
- fix predict for non-precomputed distances
- add CITATION.cff for github
- update dependency versions
v0.4.1
Added FastMSC, FasterMSC, PAMMEDSIL and PAMSIL clustering,
to optimize the (Medoid) Silhouette directly.
For details on these methods, please see the upcoming publication
Lars Lenssen, Erich Schubert:
Clustering by Direct Optimization of the Medoid Silhouette
In: 15th International Conference on Similarity Search and Applications (SISAP 2022)
https://doi.org/10.1007/978-3-031-17849-8_15
v0.3.3
v0.3.2
v0.3.1
Version 0.2.0
kmedoids 0.2.0 (2022-01-07)
- make KMedoidsResult a native Python object, pass a tuple from Rust
- always use i64/f64 loss, even for i32/f32 input
- add random shuffling support
- add parallelization support
- add silhouette
See also: https://github.com/kno10/rust-kmedoids/blob/v0.2.0/CHANGELOG.md