Clustering via Nonparametric Density Estimation: The R Package pdfCluster
Adelchi Azzalini, Giovanna Menardi
Journal of Statistical Software · 2014
doi:10.18637/jss.v057.i11 (opens in a new tab)
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Abstract
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.
Abstract licence: CC BY
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