akmedoids 0.1.2

Anchored Kmedoids for Longitudinal Data Clustering

Released Apr 19, 2019 by Monsuru Adepeju

This package cannot yet be used with Renjin it depends on other packages which are not available: longitudinalData 2.4.1, Hmisc 4.2-0, kml 2.4.1, and ggplot2 3.1.1


ggplot2 3.1.1 Hmisc 4.2-0 kml 2.4.1 longitudinalData 2.4.1 reshape2 1.4.3

Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) ) for grouping trajectories based on the similarities of their long-term trends and determines the optimal solution based on the Calinski-Harabatz criterion (Calinski and Harabatz (1974) ). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) ). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.



View GitHub Mirror

Release History