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Changelog

For changes to the main Rust package, please see https://github.com/kno10/rust-kmedoids/blob/main/CHANGELOG.md

kmedoids 0.5.1 (2024-03-14)

  • DynMSC: best loss reported incorrectly if best k=2
  • add minimum k parameter
  • bump rayon version (no changes)
  • use pointer-sized np.uintp type for medoids, for wasm32 target that should match Rust usize.

kmedoids 0.5.0 (2023-12-10)

  • add DynMSC, Silhouette clustering with optimal number of clusters
  • update dependency versions

kmedoids 0.4.3 (2023-04-20)

  • fix silhouette evaluation for k > 2 (in Rust)
  • use np.unique in Python wrapper to ensure labels are 0..k

kmedoids 0.4.2 (2023-03-07)

  • fix predict for non-precomputed distances
  • add CITATION.cff for github
  • update dependency versions

kmedoids 0.4.1 (2022-09-24)

  • drop a leftover println, remove Display/Debug traits
  • optimize marginally the MSC loss function computation
  • fix return value inconsistency in Python wrapper with n_cpu set

kmedoids 0.4.0 (2022-09-24)

  • add clustering by optimizing the Silhouette: PAMSIL
  • add medoid silhouette
  • add medoid silhouette clustering: PAMMEDSIL, FastMSC, FasterMSC

kmedoids 0.3.3 (2022-07-06)

  • Improved platform support (prebuilt for manylinux, OSX, Windows) by David Muhr
  • Rust: small but fix in PAM BUILD (ignoring the first object)

kmedoids 0.3.2 (2022-06-25)

  • Rust: small bug fix in PAM BUILD (noticable for tiny data sets with large k only)
  • Rust: return less than k centers in BUILD if the total deviation already is 0 (less than k unique points)
  • documentation improvement and packaging improvements in Python bindings

kmedoids 0.3.1 (2022-04-05)

  • fix missing import of warnings on bad parameters
  • use "choice" instead of "randint" in Python initialization code
  • no changes to Rust side, so no 0.3.1 of the Rust module

kmedoids 0.3.0 (2022-03-27)

  • add a sklearn compatible API (but keep sklearn an optional dependency)
  • improve documentation and installation instructions
  • add MNIST example
  • add integration tests

kmedoids 0.2.2 (2022-01-28)

  • really fix incorrect call to numpy random for seeding

kmedoids 0.2.1 (2022-01-28)

  • fix incorrect call to numpy random

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

kmedoids 0.1.6 (2021-09-02)

  • update reference with published journal version
  • update dependency versions (no changes)