clust

Numeric matrix / data frame: Input data

String: Decomposition algorithm name, e.g. "nmf" (case-insensitive)

Numeric matrix / Data frame: Testing set data if supported by <code>clust</code>

x.test

Logical: if TRUE, print messages to screen

verbose

Additional arguments to be passed to clusterer <code>clust</code>

Convenience function to perform any rtemis clustering

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.

clust: Clustering with rtemis

Description

Usage

Arguments

Value