Latent Class Trajectory Models: An R Package

Version 2.1.0 released

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

Cluster analysis of Parkinson's disease

Cluster analysis for mlr3

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

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

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)

The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.

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

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

Code and resources related to the olfactory regeneration project

R package for KLIC: Kernel Learning Integrative Clustering

An R package to detect collective spatio-temporal phenomena

GUI for Bayesian cluster analysis of SMLM data

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

ClipStream - multiple data streams clustering method

R package for COCA: Cluster-of-Clusters Analysis

Internal Validity Indexes for Fuzzy and Possibilistic Clustering

Hierarchical and K means Clustering -optimal number of clusters