| Name : R-pnn
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:12:07
|
| Group : Development/Libraries/Other
| Source RPM : R-pnn-1.0.1-lp153.2.13.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Probabilistic neural networks
|
Description :
The program pnn implements the algorithm proposed by Specht (1990). It
is written in the R statistical language. It solves a common problem in
automatic learning. Knowing a set of observations described by a vector
of quantitative variables, we classify them in a given number of
groups. Then, the algorithm is trained with this datasets and should
guess afterwards the group of any new observation. This neural network
has the main advantage to begin generalization instantaneously even
with a small set of known observations. It is delivered with four
functions (learn, smooth, perf and guess) and a dataset. The functions
are documented with examples and provided with unit tests.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
