This class implements the virtual interface
NMFStrategy for NMF algorithms that are
implemented by a single workhorse R function.
a function that implements an NMF
algorithm. It must have signature (y='matrix',
x='NMFfit'), where y is the target matrix to
approximate and x is the NMF model assumed to be
seeded with an appropriate initial value -- as it is done
internally by function nmf.
Note that argument names currently do not matter, but it is recommended to name them as specified above.
signature(object =
"NMFStrategyFunction"): Returns the single R function
that implements the NMF algorithm -- as stored in slot
algorithm.
signature(object =
"NMFStrategyFunction", value = "function"): Sets the
function that implements the NMF algorithm, stored in
slot algorithm.
signature(object =
"NMFStrategyFunction", y = "matrix", x = "NMFfit"): Runs
the NMF algorithms implemented by the single R function
-- and stored in slot 'algorithm' of
object, on the data object y, using
x as starting point. It is equivalent to calling
object@algorithm(y, x, ...).
This method is usually not called directly, but only via
the function nmf, which takes care of many
other details such as seeding the computation, handling
RNG settings, or setting up parallelisation.