NEWS
WeightedCluster 1.8-0 (2024-10-02)
NEW FEATURES
- seqclararange(): Clustering large databases of sequences data using improved CLARA algorithm.
- bootclustrange(): Cluster quality indices estimation using bootstrapping for large databases.
BUG FIXES
- seqnullcqi(): progress bars are now hidden by default to prevent errors when included in RMarkdown/knitr documents.
CODE CLEANING
- C++ Headers now define R_NO_REMAP for compliance with upcomming R releases.
WeightedCluster 1.6-4 (2023-07-07)
NEW FEATURES
- clustassoc(): compute the share of an association between an object and a covariate reproduced by a clustering solution.
CODE CLEANING
- Change order of C++ header inclusion for compatibility with LLVM toolchain.
WeightedCluster 1.6-2 (2023-05-17)
NEW FEATURES
- seqnullcqi(): added parallel processing support to speed up computation.
BUG FIXES
- plot.seqnull(): x and y labels corrected when using boxplots.
CODE CLEANING
- Remove set but unused variable and C89 compliance check.
WeightedCluster 1.6-0 (2021-10-05)
NEW FEATURES
- seqnull(), seqnullcqi(): Sequence Analysis Typologies Validation Using Parametric Bootstrap.
WeightedCluster 1.4-1 (2020-07-06)
BUG FIXES
- LTO: corrected declaration in init.c
WeightedCluster 1.4 (2019-03-21)
NEW FEATURES
- seqpropclust(), wcPropertyClustering(): Monothetic clustering with the DIVCLUS-T algorithm. Automatic sequence properties extraction.
- as.clustrange(): Handle monothetic clustering.
WeightedCluster 1.2-1 (2017-06-20)
SMALL FIXES
- Fixed import related notes in RCMD check.
MISC
- Registration of native routines for R 3.4.x and TraMineR >= 2.0-6.
See https://stat.ethz.ch/pipermail/r-devel/2017-February/073755.html.
WeightedCluster 1.2 (2014-01-19)
NEW FEATURES
- as.clustrange(), wcKMedRange(): Added bootstrap of cluster quality measures.
- wcCmpCluster(): Automatically compute different clustering solutions and associated quality measures to help identifying the best one.
- as.clustrange(), wcKMedRange(): Speed and memory handling improvements.
BUG FIXES
- wcKMedRange() was internally converting dist objects to matrix. For this reason, it used too much memory. This isn't the case anymore.
- Moved the vignettes source to the vignettes folder.
WeightedCluster 1.0 (2013-03-01)
NEW FEATURES
- The vignette (English version) has been published in the LIVES Working papers series.
- The vignette (manual) has been translated in English.
- seqclustname: automatic labeling of clusters using sequence medoids.
- Added the WeightedCluster vignette (in French).
- It is now possible to plot the "RHC" statistic computed as 1-HC. This way all statistics should be maximized (Requested by Gilbert Ritschard).
- It is now possible to specify the colors used by plot.clustrange (Requested by Sandra Ham).
- Now testing for correct input in "as.clustrange".
BUG FIXES
- PBC, HG, HC, where computed only on the lower triangular part of the distance matrix (instead on the whole one).
- Corrected citation informations
- Many grammar and spelling corrections in the WeightedClusterPreview vignette (thanks to Nevena Zhelyazkova).
WeightedCluster 0.9
- First development release