.defineInternalDistanceMetrics

<p>Define the distance metrics for multiple types at once</p>

internal

A framework for clustering longitudinal datasets in a standardized way.
The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses.
Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment.
The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.

Niek Den Teuling

latrend

A Framework for Clustering Longitudinal Data

Steffen Pauws

Edwin van den Heuvel

Koninklijke Philips N.V. 

.defineInternalDistanceMetrics function

Define the distance metrics for multiple types at once — .defineInternalDistanceMetrics

Define the distance metrics for multiple types at once

.defineInternalDistanceMetrics: Define the distance metrics for multiple types at once

Description

Usage

Arguments