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.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
win-64/r-pdfcluster-1.0_4-r45heceb674_3.conda | conda | 1.0_4 | win-64 | main | Sep 23, 2025, 01:12 AM | 354.51 KB | 61 | |
osx-64/r-pdfcluster-1.0_4-r44h735ac91_3.conda | conda | 1.0_4 | osx-64 | main | Sep 23, 2025, 01:10 AM | 350.83 KB | 48 | |
osx-64/r-pdfcluster-1.0_4-r45h735ac91_3.conda | conda | 1.0_4 | osx-64 | main | Sep 23, 2025, 01:09 AM | 351.18 KB | 48 | |
win-64/r-pdfcluster-1.0_4-r44heceb674_3.conda | conda | 1.0_4 | win-64 | main | Sep 23, 2025, 01:09 AM | 356.02 KB | 63 | |
linux-64/r-pdfcluster-1.0_4-r44h54b55ab_3.conda | conda | 1.0_4 | linux-64 | main | Sep 23, 2025, 01:06 AM | 352.45 KB | 283 | |
linux-64/r-pdfcluster-1.0_4-r45h54b55ab_3.conda | conda | 1.0_4 | linux-64 | main | Sep 23, 2025, 01:05 AM | 351.36 KB | 303 | |
win-64/r-pdfcluster-1.0_4-r44h11b023d_2.conda | conda | 1.0_4 | win-64 | main | Jul 10, 2024, 03:22 AM | 354.99 KB | 330 | |
win-64/r-pdfcluster-1.0_4-r43h11b023d_2.conda | conda | 1.0_4 | win-64 | main | Jul 10, 2024, 03:21 AM | 355.27 KB | 318 | |
osx-64/r-pdfcluster-1.0_4-r43h6b9d099_2.conda | conda | 1.0_4 | osx-64 | main | Jul 10, 2024, 03:15 AM | 347.58 KB | 288 | |
osx-64/r-pdfcluster-1.0_4-r44h6b9d099_2.conda | conda | 1.0_4 | osx-64 | main | Jul 10, 2024, 03:15 AM | 349.51 KB | 274 | |
linux-64/r-pdfcluster-1.0_4-r43hdb488b9_2.conda | conda | 1.0_4 | linux-64 | main | Jul 10, 2024, 03:14 AM | 352.38 KB | 1.6K | |
linux-64/r-pdfcluster-1.0_4-r44hdb488b9_2.conda | conda | 1.0_4 | linux-64 | main | Jul 10, 2024, 03:12 AM | 352.17 KB | 1.6K | |
win-64/r-pdfcluster-1.0_4-r41h6d2157b_1.conda | conda | 1.0_4 | win-64 | main | Jun 18, 2023, 05:04 PM | 348.14 KB | 495 | |
osx-64/r-pdfcluster-1.0_4-r42h6dc245f_1.conda | conda | 1.0_4 | osx-64 | main | Jun 18, 2023, 04:56 PM | 340.63 KB | 267 | |
osx-64/r-pdfcluster-1.0_4-r43h6dc245f_1.conda | conda | 1.0_4 | osx-64 | main | Jun 18, 2023, 04:54 PM | 347.27 KB | 260 | |
linux-64/r-pdfcluster-1.0_4-r43h57805ef_1.conda | conda | 1.0_4 | linux-64 | main | Jun 18, 2023, 04:50 PM | 351.96 KB | 2.1K | |
linux-64/r-pdfcluster-1.0_4-r42h57805ef_1.conda | conda | 1.0_4 | linux-64 | main | Jun 18, 2023, 04:50 PM | 343.73 KB | 2.1K | |
win-64/r-pdfcluster-1.0_4-r41h6d2157b_0.conda | conda | 1.0_4 | win-64 | main | Dec 2, 2022, 12:36 PM | 347.97 KB | 729 | |
osx-64/r-pdfcluster-1.0_4-r41h815d134_0.conda | conda | 1.0_4 | osx-64 | main | Dec 2, 2022, 12:30 PM | 338.67 KB | 414 | |
osx-64/r-pdfcluster-1.0_4-r42h815d134_0.conda | conda | 1.0_4 | osx-64 | main | Dec 2, 2022, 12:28 PM | 338.38 KB | 420 | |
linux-64/r-pdfcluster-1.0_4-r42h06615bd_0.conda | conda | 1.0_4 | linux-64 | main | Dec 2, 2022, 12:23 PM | 342.4 KB | 2.5K | |
linux-64/r-pdfcluster-1.0_4-r41h06615bd_0.conda | conda | 1.0_4 | linux-64 | main | Dec 2, 2022, 12:23 PM | 342.77 KB | 2.5K | |
win-64/r-pdfcluster-1.0_3-r41h6d2157b_0.tar.bz2 | conda | 1.0_3 | win-64 | main | Nov 4, 2022, 07:23 AM | 380.68 KB | 539 | |
osx-64/r-pdfcluster-1.0_3-r41h815d134_0.tar.bz2 | conda | 1.0_3 | osx-64 | main | Nov 4, 2022, 07:16 AM | 370.24 KB | 86 | |
osx-64/r-pdfcluster-1.0_3-r42h815d134_0.tar.bz2 | conda | 1.0_3 | osx-64 | main | Nov 4, 2022, 07:12 AM | 370.11 KB | 83 |