On hierarchies and hierarchical classes models. - Iven Van Mechelen; Seymour Rosenberg; Paul De Boeck (Mathematical Hierarchies and Biology, 1996)

Posterior predictive checks: Principles and discussion. - Johannes Berkhof; Iven Van Mechelen; Herbert Hoijtink (Comput. Stat., 2000)

Bayesian probabilistic extensions of a deterministic classification model. - Iwin Leenen; Iven Van Mechelen; Andrew Gelman (Comput. Stat., 2000)

An Evaluation of Two Algorithms for Hierarchical Classes Analysis. - Iwin Leenen; Iven Van Mechelen (J. Classif., 2001)

Constrained Latent Class Analysis of Three-Way Three-Mode Data. - Michel Meulders; Paul De Boeck; Peter Kuppens; Iven Van Mechelen (J. Classif., 2002)

Adapting the Formal to the Substantive: Constrained Tucker3-HICLASS. - Eva Ceulemans; Iven Van Mechelen; Peter Kuppens (J. Classif., 2004)

Conjunctive prediction of an ordinal criterion variable on the basis of binary predictors. - Luigi Lombardi; Iven Van Mechelen (Discret. Appl. Math., 2005)

On Algorithms for a Binary-Real (max, X) Matrix Approximation Problem. - Bart De Schutter; Jan Schepers; Iven Van Mechelen (CDC, 2006)

Three-mode partitioning. - Jan Schepers; Iven Van Mechelen; Eva Ceulemans (Comput. Stat. Data Anal., 2006)

Joint mapping of genes and conditions via multidimensional unfolding analysis. - Katrijn Van Deun; Kathleen Marchal; Willem J. Heiser; Kristof Engelen; Iven Van Mechelen (BMC Bioinform., 2007)

A unifying model involving a categorical and/or dimensional reduction for multimode data. - Iven Van Mechelen; Jan Schepers (Comput. Stat. Data Anal., 2007)

Selecting Among Multi-Mode Partitioning Models of Different Complexities: A Comparison of Four Model Selection Criteria. - Jan Schepers; Eva Ceulemans; Iven Van Mechelen (J. Classif., 2008)

Algorithms for additive clustering of rectangular data tables. - Dirk Depril; Iven Van Mechelen; Boris G. Mirkin (Comput. Stat. Data Anal., 2008)

Testing the hypothesis of tissue selectivity: the intersection-union test and a Bayesian approach. - Katrijn Van Deun; Herbert Hoijtink; Lieven Thorrez; Leentje Van Lommel; Frans Schuit; Iven Van Mechelen (Bioinform., 2009)

Integrating functional genomics data using maximum likelihood based simultaneous component analysis. - Robert A. van den Berg; Iven Van Mechelen; Tom F. Wilderjans; Katrijn Van Deun; Henk A. L. Kiers; Age K. Smilde (BMC Bioinform., 2009)

A structured overview of simultaneous component based data integration. - Katrijn Van Deun; Age K. Smilde; Mariët J. van der Werf; Henk A. L. Kiers; Iven Van Mechelen (BMC Bioinform., 2009)

Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. - Tom F. Wilderjans; Eva Ceulemans; Iven Van Mechelen (Comput. Stat. Data Anal., 2009)

Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large Data Sets. - Iven Van Mechelen; Katrijn Van Deun (COMPSTAT, 2010)

A flexible framework for sparse simultaneous component based data integration. - Katrijn Van Deun; Tom F. Wilderjans; Robert A. van den Berg; Anestis Antoniadis; Iven Van Mechelen (BMC Bioinform., 2011)

The Real-Valued Model of Hierarchical Classes. - Jan Schepers; Iven Van Mechelen; Eva Ceulemans (J. Classif., 2011)

Lowdimensional Additive Overlapping Clustering. - Dirk Depril; Iven Van Mechelen; Tom F. Wilderjans (J. Classif., 2012)

Block-Relaxation Approaches for Fitting the INDCLUS Model. - Tom F. Wilderjans; Dirk Depril; Iven Van Mechelen (J. Classif., 2012)

Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms. - Tom F. Wilderjans; Dirk Depril; Iven Van Mechelen (J. Classif., 2013)

A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions. - Lisa L. Doove; Elise Dusseldorp; Katrijn Van Deun; Iven Van Mechelen (Adv. Data Anal. Classif., 2014)

On the Added Value of Bootstrap Analysis for K-Means Clustering. - Joeri Hofmans; Eva Ceulemans; Douglas L. Steinley; Iven Van Mechelen (J. Classif., 2015)

Component- and Factor-Based Models for Data Fusion in the Behavioral Sciences. - Iven Van Mechelen; Eva Ceulemans (Proc. IEEE, 2015)

Maximal Interaction Two-Mode Clustering. - Jan Schepers; Hans-Hermann Bock; Iven Van Mechelen (J. Classif., 2017)

Deriving optimal data-analytic regimes from benchmarking studies. - Lisa L. Doove; Tom F. Wilderjans; Antonio Calcagnì; Iven Van Mechelen (Comput. Stat. Data Anal., 2017)

C443: a Methodology to See a Forest for the Trees. - Aniek Sies; Iven Van Mechelen (J. Classif., 2020)

C443: An R-package to see a forest for the trees. - Aniek Sies; Iven Van Mechelen (R J., 2023)

A white paper on good research practices in benchmarking: The case of cluster analysis. - Iven Van Mechelen; Anne-Laure Boulesteix; Rainer Dangl; Nema Dean; Christian Hennig; Friedrich Leisch; Douglas L. Steinley; Matthijs J. Warrens (WIREs Data. Mining. Knowl. Discov., 2023)

Onset of a conceptual outline map to get a hold on the jungle of cluster analysis. - Iven Van Mechelen; Christian Hennig; Henk A. L. Kiers (WIREs Data. Mining. Knowl. Discov., 2024)

Visualizing distributions of covariance matrices. - Tomoki Tokuda; Ben Goodrich; Iven Van Mechelen; Andrew Gelman; Francis Tuerlinckx (J. Data Sci. Stat. Vis., 2025)