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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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Type Size Name Uploaded Downloads Labels
conda 380.7 kB | win-64/r-pdfcluster-1.0_3-r41h6d2157b_0.tar.bz2  2 years and 11 months ago 531 main
conda 370.2 kB | osx-64/r-pdfcluster-1.0_3-r41h815d134_0.tar.bz2  2 years and 11 months ago 83 main
conda 370.1 kB | osx-64/r-pdfcluster-1.0_3-r42h815d134_0.tar.bz2  2 years and 11 months ago 80 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r42h06615bd_0.tar.bz2  2 years and 11 months ago 2192 main
conda 374.3 kB | linux-64/r-pdfcluster-1.0_3-r41h06615bd_0.tar.bz2  2 years and 11 months ago 2163 main

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