kml - K-Means for Longitudinal Data
An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.
Last updated 5 months ago
3.65 score 1 dependents 110 scripts 1.4k downloadslongitudinalData - Longitudinal Data
Tools for longitudinal data and joint longitudinal data (used by packages kml and kml3d).
Last updated 5 months ago
3.50 score 1 stars 11 dependents 65 scripts 1.5k downloads