Tom F. Wilderjans - Publications

Affiliations: 
SymBioSys Katholieke Universiteit Leuven, Leuven, Vlaanderen, Belgium 

26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Cariou V, Alexandre‐Gouabau M, Wilderjans TF. Three‐way clustering around latent variables approach with constraints on the configurations to facilitate interpretation Journal of Chemometrics. DOI: 10.1002/Cem.3269  0.343
2019 Durieux J, Wilderjans TF. Partitioning subjects based on high-dimensional fMRI data: comparison of several clustering methods and studying the influence of ICA data reduction in big data Behaviormetrika. 46: 271-311. DOI: 10.1007/S41237-019-00086-4  0.395
2018 Waaijenborg S, Korobko O, Dijk KWv, Lips M, Hankemeier T, Wilderjans TF, Smilde AK, Westerhuis JA. Fusing metabolomics data sets with heterogeneous measurement errors Plos One. 13. PMID 29698490 DOI: 10.1371/Journal.Pone.0195939  0.31
2017 Cariou V, Wilderjans TF. Consumer segmentation in multi-attribute product evaluation by means of non-negatively constrained CLV3W Food Quality and Preference. 67: 18-26. DOI: 10.1016/J.Foodqual.2017.01.006  0.361
2017 Doove LL, Wilderjans TF, Calcagnì A, Mechelen IV. Deriving optimal data-analytic regimes from benchmarking studies Computational Statistics & Data Analysis. 107: 81-91. DOI: 10.1016/J.Csda.2016.10.016  0.391
2016 Wilderjans TF, Vande Gaer E, Kiers HA, Van Mechelen I, Ceulemans E. Principal Covariates Clusterwise Regression (PCCR): Accounting for Multicollinearity and Population Heterogeneity in Hierarchically Organized Data. Psychometrika. PMID 27905056 DOI: 10.1007/S11336-016-9522-0  0.37
2015 Ceulemans E, Wilderjans TF, Kiers HA, Timmerman ME. MultiLevel simultaneous component analysis: A computational shortcut and software package. Behavior Research Methods. PMID 26170054 DOI: 10.3758/S13428-015-0626-8  0.365
2014 Schouteden M, Van Deun K, Wilderjans TF, Van Mechelen I. Performing DISCO-SCA to search for distinctive and common information in linked data. Behavior Research Methods. 46: 576-87. PMID 24178130 DOI: 10.3758/S13428-013-0374-6  0.368
2014 Wilderjans TF, Cariou V. CLV3W: A clustering around latent variables approach to detect panel disagreement in three-way conventional sensory profiling data Food Quality and Preference. DOI: 10.1016/J.Foodqual.2015.03.013  0.391
2014 Rodríguez SD, Barletta DA, Wilderjans TF, Bernik DL. Fast and Efficient Food Quality Control Using Electronic Noses: Adulteration Detection Achieved by Unfolded Cluster Analysis Coupled with Time-Window Selection Food Analytical Methods. 7: 2042-2050. DOI: 10.1007/S12161-014-9841-7  0.369
2013 Bulteel K, Wilderjans TF, Tuerlinckx F, Ceulemans E. CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzers. Behavior Research Methods. 45: 782-91. PMID 23307573 DOI: 10.3758/S13428-012-0293-Y  0.408
2013 Wilderjans TF, Ceulemans E, Meers K. CHull: a generic convex-hull-based model selection method. Behavior Research Methods. 45: 1-15. PMID 23055156 DOI: 10.3758/S13428-012-0238-5  0.343
2013 Rodríguez SD, Wilderjans TF, Sosa N, Bernik DL. Image Texture Analysis and Gas Sensor Array Studies Applied to Vanilla Encapsulation by Octenyl Succinic Anhydride Starches Journal of Field Robotics. 2: 36-48. DOI: 10.5539/Jfr.V2N2P36  0.301
2013 Wilderjans TF, Ceulemans E. Clusterwise Parafac to identify heterogeneity in three-way data Chemometrics and Intelligent Laboratory Systems. 129: 87-97. DOI: 10.1016/J.Chemolab.2013.09.010  0.403
2013 Wilderjans TF, Depril D, van Mechelen I. Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms Journal of Classification. 30: 56-74. DOI: 10.1007/S00357-013-9120-0  0.329
2012 Wilderjans TF, Ceulemans E, Kuppens P. Clusterwise HICLAS: a generic modeling strategy to trace similarities and differences in multiblock binary data. Behavior Research Methods. 44: 532-45. PMID 22083659 DOI: 10.3758/S13428-011-0166-9  0.452
2012 Wilderjans TF, Ceulemans E, van Mechelen I. The SIMCLAS Model: Simultaneous Analysis of Coupled Binary Data Matrices with Noise Heterogeneity Between and Within Data Blocks Psychometrika. 77: 724-740. DOI: 10.1007/S11336-012-9275-3  0.376
2012 Wilderjans TF, Depril D, van Mechelen I. Block-Relaxation Approaches for Fitting the INDCLUS Model Journal of Classification. 29: 277-296. DOI: 10.1007/S00357-012-9113-4  0.369
2012 Depril D, van Mechelen I, Wilderjans TF. Lowdimensional Additive Overlapping Clustering Journal of Classification. 29: 297-320. DOI: 10.1007/S00357-012-9112-5  0.42
2011 Van Deun K, Wilderjans TF, van den Berg RA, Antoniadis A, Van Mechelen I. A flexible framework for sparse simultaneous component based data integration. Bmc Bioinformatics. 12: 448. PMID 22085701 DOI: 10.1186/1471-2105-12-448  0.39
2011 Wilderjans TF, Ceulemans E, Van Mechelen I, van den Berg RA. Simultaneous analysis of coupled data matrices subject to different amounts of noise. The British Journal of Mathematical and Statistical Psychology. 64: 277-90. PMID 21492133 DOI: 10.1348/000711010X513263  0.381
2011 Wilderjans TF, Ceulemans E, Van Mechelen I, Depril D. ADPROCLUS: a graphical user interface for fitting additive profile clustering models to object by variable data matrices. Behavior Research Methods. 43: 56-65. PMID 21287114 DOI: 10.3758/S13428-010-0033-0  0.404
2009 Wilderjans TF, Ceulemans E, Kiers HA, Meers K. The LMPCA program: a graphical user interface for fitting the linked-mode PARAFAC-PCA model to coupled real-valued data. Behavior Research Methods. 41: 1073-82. PMID 19897815 DOI: 10.3758/Brm.41.4.1073  0.327
2009 van den Berg RA, Van Mechelen I, Wilderjans TF, Van Deun K, Kiers HA, Smilde AK. Integrating functional genomics data using maximum likelihood based simultaneous component analysis. Bmc Bioinformatics. 10: 340. PMID 19835617 DOI: 10.1186/1471-2105-10-340  0.389
2009 Wilderjans T, Ceulemans E, Mechelen IV. Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes Computational Statistics & Data Analysis. 53: 1086-1098. DOI: 10.1016/J.Csda.2008.09.031  0.402
2008 Wilderjans T, Ceulemans E, Mechelen IV. The CHIC Model: A Global Model for Coupled Binary Data Psychometrika. 73: 729-751. DOI: 10.1007/S11336-008-9069-9  0.355
Show low-probability matches.