reuters

reuters_docs

reuters_vocab

docs

vocab

Example Dataset from Reuters consisting of 91 articles. It can be used to
familiarize with the bunch of functions offered by this package.

datasets

Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs. LDA runs are specified by its assignments leading to estimators for distribution parameters. Repeated runs lead to different results, which we encounter by choosing the most representative LDA run as prototype.

Jonas Rieger

ldaPrototype

Prototype of Multiple Latent Dirichlet Allocation Runs

reuters function

<code>reuters_docs</code> is a list of documents of length 91 prepared by <code><a rd-options="tosca" href="/link/LDAprep?package=ldaPrototype&version=0.3.1&to=tosca" data-mini-rdoc="tosca::LDAprep">LDAprep</a></code>.<code>reuters_vocab</code> is
An object of class <code>character</code> of length 2141.

Format

A Snippet of the Reuters Dataset — reuters

A Snippet of the Reuters Dataset

reuters: A Snippet of the Reuters Dataset

Description

Usage

Arguments

Format

References