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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  3 years and 5 months ago 548 main
conda 370.2 kB | osx-64/r-pdfcluster-1.0_3-r41h815d134_0.tar.bz2  3 years and 5 months ago 96 main
conda 370.1 kB | osx-64/r-pdfcluster-1.0_3-r42h815d134_0.tar.bz2  3 years and 5 months ago 92 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r42h06615bd_0.tar.bz2  3 years and 5 months ago 2604 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r41h06615bd_0.tar.bz2  3 years and 5 months ago 2577 main

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