- psychometrics. The CP
decomposition is
referred to as CANDECOMP,
PARAFAC, or CANDECOMP/
PARAFAC (CP). Note that the PARAFAC2 rank
decomposition is a variation...
-
decomposition (HOSVD). It may be
regarded as a more
flexible PARAFAC (parallel
factor analysis) model. In
PARAFAC the core
tensor is
restricted to be "diagonal". In...
-
component analysis may be
performed with
models such as
Tucker decomposition,
PARAFAC,
multiple factor analysis, co-inertia analysis, STATIS, and DISTATIS. While...
- turn up as
subproblems in
matrix decomposition, e.g. in
algorithms for
PARAFAC and non-negative matrix/tensor factorization. The
latter can be considered...
-
chemometrics and
sensor processing.
Linear tensor rank
methods (such as,
Parafac/CANDECOMP)
analyzed M-way
arrays ("data tensors")
composed of
higher order...
- M-way
arrays may be
modeled by
linear tensor models, such as CANDECOMP/
Parafac, or by
multilinear tensor models, such as
multilinear prin****l component...
-
resolved into
components in a
technique called parallel factor analysis (
PARAFAC),
where each
component is
often labelled as "humic-like", "protein-like"...
-
extension of the
canonical decomposition, also
known as the
parallel factors (
PARAFAC) decomposition.
There are N sets of
parameters to be solved, one in each...
-
distribution PARAFAC (parallel
factor analysis)
Parallel coordinates –
graphical display of data
Parallel factor analysis –
redirects to
PARAFAC Paradigm...
- This
extension may be
viewed as a non-negative
counterpart to, e.g., the
PARAFAC model.
Other extensions of NMF
include joint factorization of
several data...
