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2020 – today
- 2023
[j28]Aniek Sies, Iven Van Mechelen:
C443: An R-package to see a forest for the trees. R J. 15(3): 59-78 (2023)- [j27]Iven Van Mechelen
, Anne-Laure Boulesteix, Rainer Dangl, Nema Dean, Christian Hennig, Friedrich Leisch, Douglas L. Steinley, Matthijs J. Warrens:
A white paper on good research practices in benchmarking: The case of cluster analysis. WIREs Data. Mining. Knowl. Discov. 13(6) (2023) - 2020
- [j26]Aniek Sies, Iven Van Mechelen:
C443: a Methodology to See a Forest for the Trees. J. Classif. 37(3): 730-753 (2020)
2010 – 2019
- 2017
- [j25]Jan Schepers, Hans-Hermann Bock, Iven Van Mechelen:
Maximal Interaction Two-Mode Clustering. J. Classif. 34(1): 49-75 (2017) - [j24]Lisa L. Doove, Tom F. Wilderjans, Antonio Calcagnì, Iven Van Mechelen:
Deriving optimal data-analytic regimes from benchmarking studies. Comput. Stat. Data Anal. 107: 81-91 (2017) - 2015
- [j23]Joeri Hofmans, Eva Ceulemans, Douglas L. Steinley, Iven Van Mechelen:
On the Added Value of Bootstrap Analysis for K-Means Clustering. J. Classif. 32(2): 268-284 (2015) - [j22]Iven Van Mechelen, Eva Ceulemans:
Component- and Factor-Based Models for Data Fusion in the Behavioral Sciences. Proc. IEEE 103(9): 1621-1634 (2015) - 2014
- [j21]Lisa L. Doove, Elise Dusseldorp, Katrijn Van Deun, Iven Van Mechelen:
A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions. Adv. Data Anal. Classif. 8(4): 403-425 (2014) - 2013
- [j20]Tom F. Wilderjans, Dirk Depril, Iven Van Mechelen:
Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms. J. Classif. 30(1): 56-74 (2013) - 2012
- [j19]Tom F. Wilderjans, Dirk Depril, Iven Van Mechelen:
Block-Relaxation Approaches for Fitting the INDCLUS Model. J. Classif. 29(3): 277-296 (2012) - [j18]Dirk Depril, Iven Van Mechelen, Tom F. Wilderjans:
Lowdimensional Additive Overlapping Clustering. J. Classif. 29(3): 297-320 (2012) - 2011
- [j17]Katrijn Van Deun, Tom F. Wilderjans, Robert A. van den Berg, Anestis Antoniadis, Iven Van Mechelen:
A flexible framework for sparse simultaneous component based data integration. BMC Bioinform. 12: 448 (2011) - [j16]Jan Schepers, Iven Van Mechelen, Eva Ceulemans:
The Real-Valued Model of Hierarchical Classes. J. Classif. 28(3): 363-389 (2011) - 2010
- [c3]Iven Van Mechelen, Katrijn Van Deun:
Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large Data Sets. COMPSTAT 2010: 349-358
2000 – 2009
- 2009
- [j15]Katrijn Van Deun, Herbert Hoijtink, Lieven Thorrez, Leentje Van Lommel, Frans Schuit, Iven Van Mechelen:
Testing the hypothesis of tissue selectivity: the intersection-union test and a Bayesian approach. Bioinform. 25(19): 2588-2594 (2009) - [j14]Robert A. van den Berg, Iven Van Mechelen, Tom F. Wilderjans, Katrijn Van Deun, Henk A. L. Kiers, Age K. Smilde:
Integrating functional genomics data using maximum likelihood based simultaneous component analysis. BMC Bioinform. 10: 340 (2009) - [j13]Katrijn Van Deun, Age K. Smilde, Mariët J. van der Werf, Henk A. L. Kiers, Iven Van Mechelen:
A structured overview of simultaneous component based data integration. BMC Bioinform. 10 (2009) - [j12]Tom F. Wilderjans, Eva Ceulemans, Iven Van Mechelen:
Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. Comput. Stat. Data Anal. 53(4): 1086-1098 (2009) - 2008
- [j11]Jan Schepers, Eva Ceulemans, Iven Van Mechelen:
Selecting Among Multi-Mode Partitioning Models of Different Complexities: A Comparison of Four Model Selection Criteria. J. Classif. 25(1): 67-85 (2008) - [j10]Dirk Depril, Iven Van Mechelen, Boris G. Mirkin:
Algorithms for additive clustering of rectangular data tables. Comput. Stat. Data Anal. 52(11): 4923-4938 (2008) - 2007
- [j9]Katrijn Van Deun, Kathleen Marchal, Willem J. Heiser, Kristof Engelen, Iven Van Mechelen:
Joint mapping of genes and conditions via multidimensional unfolding analysis. BMC Bioinform. 8 (2007) - [j8]Iven Van Mechelen, Jan Schepers:
A unifying model involving a categorical and/or dimensional reduction for multimode data. Comput. Stat. Data Anal. 52(1): 537-549 (2007) - 2006
- [j7]Jan Schepers, Iven Van Mechelen, Eva Ceulemans:
Three-mode partitioning. Comput. Stat. Data Anal. 51(3): 1623-1642 (2006) - [c2]Bart De Schutter, Jan Schepers, Iven Van Mechelen:
On Algorithms for a Binary-Real (max, X) Matrix Approximation Problem. CDC 2006: 5168-5173 - 2005
- [j6]Luigi Lombardi, Iven Van Mechelen:
Conjunctive prediction of an ordinal criterion variable on the basis of binary predictors. Discret. Appl. Math. 147(1): 91-100 (2005) - 2004
- [j5]Eva Ceulemans, Iven Van Mechelen, Peter Kuppens:
Adapting the Formal to the Substantive: Constrained Tucker3-HICLASS. J. Classif. 21(1): 19-50 (2004) - 2002
- [j4]Michel Meulders, Paul De Boeck, Peter Kuppens, Iven Van Mechelen:
Constrained Latent Class Analysis of Three-Way Three-Mode Data. J. Classif. 19(2): 277-302 (2002) - 2001
- [j3]Iwin Leenen, Iven Van Mechelen:
An Evaluation of Two Algorithms for Hierarchical Classes Analysis. J. Classif. 18(1): 57-80 (2001) - 2000
- [j2]Johannes Berkhof, Iven Van Mechelen, Herbert Hoijtink:
Posterior predictive checks: Principles and discussion. Comput. Stat. 15(3): 337-354 (2000) - [j1]Iwin Leenen, Iven Van Mechelen, Andrew Gelman:
Bayesian probabilistic extensions of a deterministic classification model. Comput. Stat. 15(3): 355-371 (2000)
1990 – 1999
- 1996
- [c1]Iven Van Mechelen, Seymour Rosenberg, Paul De Boeck:
On hierarchies and hierarchical classes models. Mathematical Hierarchies and Biology 1996: 291-298
Coauthor Index
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