TY - JOUR
T1 - On the added value of multiset methods for three-way data analysis
AU - De Roover, Kim
AU - Timmerman, Marieke E.
AU - Van Mechelen, Iven
AU - Ceulemans, Eva
PY - 2013
Y1 - 2013
N2 - Three-way three-mode data are collected regularly in scientific research and yield information on the relation between three sets of entities. To summarize the information in such data, three-way component methods like CANDECOMP/PARAFAC (CP) and Tucker3 are often used. When applying CP and Tucker3 in empirical practice, one should be cautious, however, because they rely on very strict assumptions. We argue that imposing these assumptions may obscure interesting structural information included in the data and may lead to substantive conclusions that are appropriate for some part of the data only. As a way out, this paper demonstrates that this structural information may be elegantly captured by means of component methods for multiset data, that is to say, simultaneous component analysis (SCA) and its clusterwise extension (clusterwise SCA).
AB - Three-way three-mode data are collected regularly in scientific research and yield information on the relation between three sets of entities. To summarize the information in such data, three-way component methods like CANDECOMP/PARAFAC (CP) and Tucker3 are often used. When applying CP and Tucker3 in empirical practice, one should be cautious, however, because they rely on very strict assumptions. We argue that imposing these assumptions may obscure interesting structural information included in the data and may lead to substantive conclusions that are appropriate for some part of the data only. As a way out, this paper demonstrates that this structural information may be elegantly captured by means of component methods for multiset data, that is to say, simultaneous component analysis (SCA) and its clusterwise extension (clusterwise SCA).
U2 - 10.1016/j.chemolab.2013.05.002
DO - 10.1016/j.chemolab.2013.05.002
M3 - Article
SN - 0169-7439
VL - 129
SP - 98
EP - 107
JO - Chemometrics & Intelligent Laboratory Systems
JF - Chemometrics & Intelligent Laboratory Systems
ER -