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- Henk A. L. Kiers, Iven van Mechelen
- Psychological methods
- 2001

Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for example, when data are collected on individuals, in different settings, and on different measures. Such techniques summarize all information in a 3-way data set by summarizing, for each way of the 3-way data set, the associated entities through a few components… (More)

- Eva Ceulemans, Henk A. L. Kiers
- The British journal of mathematical and…
- 2006

Several three-mode principal component models can be considered for the modelling of three-way, three-mode data, including the Candecomp/Parafac, Tucker3, Tucker2, and Tucker1 models. The following question then may be raised: given a specific data set, which of these models should be selected, and at what complexity (i.e. with how many components)? We… (More)

- Urbano Lorenzo-Seva, Marieke E. Timmerman, Henk A. L. Kiers
- Multivariate behavioral research
- 2011

A common problem in exploratory factor analysis is how many factors need to be extracted from a particular data set. We propose a new method for selecting the number of major common factors: the Hull method, which aims to find a model with an optimal balance between model fit and number of parameters. We examine the performance of the method in an extensive… (More)

- Henk A. L. Kiers
- Computational Statistics & Data Analysis
- 2002

- Henk A. L. Kiers, Albert der Kinderen
- The British journal of mathematical and…
- 2003

Recently, Timmerman and Kiers proposed an effective procedure for choosing the numbers of components in Tucker3 analysis, a kind of component analysis of three-way data. The procedure, however, is rather time-consuming, relying on very many complete Tucker3 analyses. Here, an alternative procedure is proposed, which basically relies on a single, quick… (More)

- Paolo Giordani, Henk A. L. Kiers
- Computational Statistics & Data Analysis
- 2006

- Mohamed Hanafi, Henk A. L. Kiers
- Computational Statistics & Data Analysis
- 2006

A general class of methods for (partial) rotation of a set of (loading) matrices to maximal agreement has been available in the literature since the 1980s. It contains a generalization of canonical correlation analysis as a special case. However, various other generalizations of canonical correlation analysis have been proposed. A new general class of… (More)

- Marieke E. Timmerman, Henk A. L. Kiers, Age K. Smilde
- The British journal of mathematical and…
- 2007

Confidence intervals (CIs) in principal component analysis (PCA) can be based on asymptotic standard errors and on the bootstrap methodology. The present paper offers an overview of possible strategies for bootstrapping in PCA. A motivating example shows that CI estimates for the component loadings using different methods may diverge. We explain that this… (More)

- Katrijn Van Deun, Iven van Mechelen, +6 authors Henk A. L. Kiers
- PloS one
- 2012

BACKGROUND
In systems biology it is common to obtain for the same set of biological entities information from multiple sources. Examples include expression data for the same set of orthologous genes screened in different organisms and data on the same set of culture samples obtained with different high-throughput techniques. A major challenge is to find the… (More)

- Age K. Smilde, Henk A. L. Kiers, S. Bijlsma, C. M. Rubingh, Marijana Erk
- Bioinformatics
- 2009

MOTIVATION
Modern functional genomics generates high-dimensional datasets. It is often convenient to have a single simple number characterizing the relationship between pairs of such high-dimensional datasets in a comprehensive way. Matrix correlations are such numbers and are appealing since they can be interpreted in the same way as Pearson's correlations… (More)