rtClust-class

rtClust

rtemis clustering object

datasets

Advanced Machine Learning and Visualization made efficient and accessible. Unsupervised Learning (Clustering, Decomposition), Supervised Learning (Classification, Regression, Survival Analysis), Cross-Decomposition, Bagging, Boosting, Meta-models. Static and dynamic graphs.

Efstathios D. Gennatas

rtemis

Machine Learning and Visualization

rtClust-class function

An object of class <code>R6ClassGenerator</code> of length 24.

Format

<dl class="dl-horizontal">
<dt><code>clust.name</code></dt><dd>String: Name of clustering algorithm</dd></dl><dt><code>call</code></dt><dd>Originating call</dd><dt><code>xnames</code></dt><dd>Column names of x</dd><dt><code>clust</code></dt><dd>Clustering algorithm output</dd><dt><code>clusters.train</code></dt><dd>Cluster assignment for training set</dd><dt><code>clusters.test</code></dt><dd>Cluster assignment for testing set (if supported by algorithm and test set provided)</dd><dt><code>extra</code></dt><dd>List: Algorithm-specific output</dd>

rtClust-class: R6 class for rtemis clustering

Description

Usage

Arguments

Format

Fields