
# kamila [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/kamila)](https://cran.r-project.org/package=kamila) [![Build status](https://ci.appveyor.com/api/projects/status/96ucgsr93ok90aux?svg=true)](https://ci.appveyor.com/project/ahfoss/kamila)  

R package for clustering mixed data. For more information, install the package and run

    library(kamila)
    ?`kamila-package`

from the R terminal. For an in-depth discussion of the challenges involved in clustering mixed-type data, please see our papers:
 * [Foss, Markatou, Ray, and Heching (2016). A semiparametric method for clustering mixed data. **Machine Learning**, 105(3), 419-458. DOI: 10.1007/s10994-016-5575-7](http://link.springer.com/article/10.1007/s10994-016-5575-7)
 * [Foss and Markatou (2018). kamila: Clustering Mixed-Type Data in R and Hadoop. **Journal of Statistical Software**, 83(13). DOI: 10.18637/jss.v083.i13](https://www.jstatsoft.org/article/view/v083i13)
 * [Foss, Markatou, and Ray (2018). Distance Metrics and Clustering Methods for Mixed-Type Data. **International Statistical Review**. DOI: 10.1111/insr.12274.](https://onlinelibrary.wiley.com/doi/abs/10.1111/insr.12274)

Update May 11, 2020: Update data.frame calls to be compatible with R v4.x.x
