r-cran-tsne
t-distributed stochastic neighbor embedding for R (t-SNE)
A "pure R" implementation of the t-SNE algorithm.
libstdc++-8-dev-ppc64el-cross
GNU Standard C++ Library v3 (development files) (ppc64el)
r-cran-npsurv
Nonparametric Survival Analysis
Contains functions for non-parametric survival analysis of
exact and interval-censored observations.
libgnuradio-analog3.8.0
gnuradio analog functions
python3-cluster
allows grouping a list of arbitrary objects into related groups (clusters)
python-cluster is a "simple" package that allows users to create several groups
(clusters) of objects from a list. It's meant to be flexible and able to
cluster any object. To ensure this kind of flexibility, you need not only to
supply the list of objects, but also a function that calculates the similarity
between two of those objects. For simple datatypes, like integers, this can be
as simple as a subtraction, but more complex calculations are possible. Right
now, it is possible to generate the clusters using a hierarchical clustering
and the popular K-Means algorithm. For the hierarchical algorithm there are
different "linkage" (single, complete, average and uclus) methods available.
r-cran-lsei
solving problems under equality/inequality constraints
The lsei package contains functions that solve least squares
linear regression problems under linear equality/inequality
constraints. Functions for solving quadratic programming problems
are also available, which transform such problems into least squares
ones first. It is developed based on the 'Fortran' program of Lawson
and Hanson (1974, 1995), which is public domain and available at
<http://www.netlib.org/lawson-hanson>.