  The adaptive multi-channel method is applied to derive probability
distributions from data samples. Moreover, an explicit algorithm is introduced,
for which both the channel weights and the channels themselves are adaptive,
and which can be used both for data analysis and for importance sampling in
Monte Carlo integration. Finally, it is pointed out how the usefulness for data
analysis can be used to optimize the integration procedure.
