| Name : R-kmed
| |
| Version : 0.4.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.5
| Date : 2024-06-14 11:53:59
|
| Group : Development/Libraries/Other
| Source RPM : R-kmed-0.4.2-lp153.4.5.src.rpm
|
| Size : 0.43 MB
| |
| Packager : (none)
| |
| Summary : Distance-Based k-Medoids
|
Description :
Algorithms of distance-based k-medoids clustering: simple and fast
k-medoids, ranked k-medoids, and increasing number of clusters in
k-medoids. Calculate distances for mixed variable data such as Gower,
Podani, Wishart, Huang, Harikumar-PV, and Ahmad-Dey. Cluster validation
applies internal and relative criteria. The internal criteria includes
silhouette index and shadow values. The relative criterium applies
bootstrap procedure producing a heatmap with a flexible reordering
matrix algorithm such as complete, ward, or average linkages. The
cluster result can be plotted in a marked barplot or pca biplot.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
