TY - JOUR AU - Azzalini, Adelchi AU - Menardi, Giovanna PY - 2014/05/06 Y2 - 2024/03/28 TI - Clustering via Nonparametric Density Estimation: The R Package pdfCluster JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 57 IS - 11 SE - Articles DO - 10.18637/jss.v057.i11 UR - https://www.jstatsoft.org/index.php/jss/article/view/v057i11 SP - 1 - 26 AB - The R package pdfCluster performs cluster analysis based on a nonparametric estimate of the density of the observed variables. Functions are provided to encompass the whole process of clustering, from kernel density estimation, to clustering itself and subsequent graphical diagnostics. After summarizing the main aspects of the methodology, we describe the features and the usage of the package, and finally illustrate its application with the aid of two data sets. ER -