| Name : R-bigdatadist
| |
| Version : 1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:35:46
|
| Group : Development/Libraries/Other
| Source RPM : R-bigdatadist-1.1-lp153.2.13.src.rpm
|
| Size : 0.22 MB
| |
| Packager : (none)
| |
| Summary : Distances for Machine Learning and Statistics in the Context of Big Data
|
Description :
Functions to compute distances between probability measures or any
other data object than can be posed in this way, entropy measures for
samples of curves, distances and depth measures for functional data,
and the Generalized Mahalanobis Kernel distance for high dimensional
data. For further details about the metrics please refer to Martos et
al (2014) < doi:10.3233/IDA-140706> Martos et al (2018)
< doi:10.3390/e20010033> Hernandez et al (2018, submitted); Martos et
al (2018, submitted).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
