DPsekoitusmallit
DPsekoitusmallit, or DP mixture models, are a class of statistical models used for representing and analyzing data that is believed to be generated from a mixture of underlying probability distributions. The "DP" in DPsekoitusmallit stands for Dirichlet Process, which is a key component of these models. A Dirichlet Process is a probability distribution over probability distributions. This means it allows for an unknown and potentially infinite number of distinct components in the mixture, a property known as "non-parametric" behavior.
In a standard mixture model, the number of component distributions is fixed beforehand. For example, a Gaussian
These models are particularly useful in situations where the number of underlying categories or clusters in