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Cluster analysis via nonparametric density estimation is performed. Operationally, the kernel method is used throughout to estimate the density. Diagnostics methods for evaluating the quality of the clustering are available. The package includes also a routine to estimate the probability density function obtained by the kernel method, given a set of data with arbitrary dimensions.

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conda 380.7 kB | win-64/r-pdfcluster-1.0_3-r41h6d2157b_0.tar.bz2  2 years and 10 months ago 531 main
conda 370.2 kB | osx-64/r-pdfcluster-1.0_3-r41h815d134_0.tar.bz2  2 years and 10 months ago 82 main
conda 370.1 kB | osx-64/r-pdfcluster-1.0_3-r42h815d134_0.tar.bz2  2 years and 10 months ago 79 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r42h06615bd_0.tar.bz2  2 years and 10 months ago 2169 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r41h06615bd_0.tar.bz2  2 years and 10 months ago 2140 main

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