legidi m@ili@g off u@its@it
2018-Nov-23 12:13 UTC
[R-pkgs] New package pivmet: relabelling and K-means seeding via pivotal methods
Dear R users, I am glad to announce the release (version 0.1) of the pivmet package, which proposes some pivotal methods in order to: * undo the label switching problem which naturally arises during the MCMC sampling in Bayesian mixture models [pivotal relabelling] (Egidi et al. 2018a) * initialize the K-means algorithm aimed at obtaining a good clustering solution [pivotal seeding] (Egidi et al. 2018b) The package includes two vignettes for easing its use and is here available: https://cran.r-project.org/web/packages/pivmet/index.html and developed in github at: https://github.com/LeoEgidi/pivmet Here are the two referred articles: Egidi et al. (2018a) https://link.springer.com/article/10.1007/s11222-017-9774-2 Egidi et al. (2018b) https://www.researchgate.net/profile/Leonardo_Egidi/publication/326225330_K-means_seeding_via_MUS_algorithm_-_Inizializzazione_del_K-means_tramite_l%27algoritmo_MUS/links/5b3f2c2caca27207851c7865/K-means-seeding-via-MUS-algorithm-Inizializzazione-del-K-means-tramite-lalgoritmo-MUS.pdf All the best Leonardo Egidi Postdoctoral researcher, University of Trieste