Jacqueline Meulman

Applications of a new subspace clustering algorithm (COSA) in medical systems biology (2007)

Damian, Doris, Oresic, Matej, Verheij, Elwin, Meulman, Jacqueline, Friedman, Jerome, Adourian, Aram, ...

Metabolomics Vol.3 Nr.1, 69 - 77

Applications of a new subspace clustering algorithm (COSA) in medical systems biology (2007)

Damian, Doris, Oresic, Matej, Verheij, Elwin, Meulman, Jacqueline, Friedman, Jerome, Adourian, Aram, ...

Metabolomics Vol.3 Nr.1, 69 - 77

PREFMAP-3 User's Guide (1996)

Jacqueline Meulman, Willem J. Heiser, J. Douglas Carroll

Contents I PREFMAP models and techniques 4 1 Basic data and objectives 5 2 The PREFMAP hierarchy of models 8 2.1 The vector model : : : : : : : : : : : : : : : : : : : : : : : : : : : 8 2.2 The...

Analyzing rectangular tables by joint and constrained multidimensional scaling

Heiser, Willem J., Meulman, Jacqueline

Fitting a distance model to homogeneous subsets of variables: Points of view analysis of categorical data

Jacqueline Meulman

Categorical data, Multidimensional scaling, Homogeneity analysis, Optimal scaling, Majorization, Clustering of variables,

A special Jackknife for Multidimensional Scaling

Jan Leeuw, Jacqueline Meulman

Multidimensional scaling, Jackknife, Cross validation, Stability,

The integration of multidimensional scaling and multivariate analysis with optimal transformations

Jacqueline Meulman

multivariate analysis, multidimensional scaling, nonlinear transformations, distance approximation, majorization,

Points of view analysis revisited: Fitting multidimensional structures to optimal distance components with cluster restrictions on the variables

Jacqueline Meulman, Peter Verboon

points of view, individual differences, group differences, nonlinear multivariate analysis, nonmetric multidimensional scaling, distance components, composite dissimilarities, variable clustering,

A distance-based variety of nonlinear multivariate data analysis, including weights for objects and variables

Jacques Commandeur, Patrick Groenen, Jacqueline Meulman

object weights, group weights, optimal scaling, multivariate data analysis, multidimensional scaling, distance approach, preference data, bootstrap,

Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices

Lawrence Hubert, Phipps Arabie, Jacqueline Meulman

least-squares matrix approximation, graphical representation, strongly-anti-Robinson, circular strongly-anti-Robinson,

Prediction and classification in nonlinear data analysis: Something old, something new, something borrowed, something blue

Jacqueline Meulman

multiple regression, optimal scaling, optimal scoring, statistical learning, data mining, boosting, forward stagewise additive modeling, additive prediction components, monotonic regression,...

The regression trunk approach to discover treatment covariate interaction

Elise Dusseldorp, Jacqueline Meulman

classification and regression trees, multiple linear regression, treatment covariate interaction, differential effectiveness, aptitude treatment interaction,

Optimal scaling by alternating length-constrained nonnegative least squares, with application to distance-based analysis

Patrick Groenen, Bart-Jan Os, Jacqueline Meulman

nonnegative least squares, length-constraints, constrained optimization, alternating least squares, distance-based (principal components) analysis, optimal scaling, multidimensional scaling,