getSimilarity

getRelevantWords

getConsideredWords

getParam.TopicSimilarity

[<code>named list</code>]
<code><a rd-options="=jaccardTopics" href="/link/TopicSimilarity?package=ldaPrototype&version=0.3.1&to=%3DjaccardTopics" data-mini-rdoc="=jaccardTopics::TopicSimilarity">TopicSimilarity</a></code> object.

Returns the corresponding element of a <code><a rd-options="=jaccardTopics" href="/link/TopicSimilarity?package=ldaPrototype&version=0.3.1&to=%3DjaccardTopics" data-mini-rdoc="=jaccardTopics::TopicSimilarity">TopicSimilarity</a></code> object.

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

getSimilarity function

[<code>named list</code>]
<code><a rd-options='=jaccardTopics' href='TopicSimilarity'>TopicSimilarity</a></code> object.

Returns the corresponding element of a <code><a rd-options='=jaccardTopics' href='TopicSimilarity'>TopicSimilarity</a></code> object.

getSimilarity: Getter for TopicSimilarity

Description

Usage

Arguments

See Also