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>.