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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 2 months ago 514 main
conda 370.2 kB | osx-64/r-pdfcluster-1.0_3-r41h815d134_0.tar.bz2  2 years and 2 months ago 72 main
conda 370.1 kB | osx-64/r-pdfcluster-1.0_3-r42h815d134_0.tar.bz2  2 years and 2 months ago 70 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r42h06615bd_0.tar.bz2  2 years and 2 months ago 1567 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r41h06615bd_0.tar.bz2  2 years and 2 months ago 1525 main

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