Latent Class Trajectory Models: An R Package

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

Cluster analysis for mlr3

PlotTwist - a web app for plotting and annotating time-series data

Version 2.1.0 released

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space

A quick reference for how to run many models in R.

Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)

An R package to detect collective spatio-temporal phenomena

Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

dendrograms in ggplot2.

Cluster analysis of Parkinson's disease

Shiny app that makes cluster analysis of some productivity measures from TJSP

Internal Validity Indexes for Fuzzy and Possibilistic Clustering

R package for COCA: Cluster-of-Clusters Analysis

Supplementary materials for the manuscript "A comparison of methods for clustering longitudinal data with slowly changing trends" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel, published in Communications in Statistics - Simulation and Computation (2021).

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

R package for KLIC: Kernel Learning Integrative Clustering

GUI for Bayesian cluster analysis of SMLM data