Infinite mixture model

An infinite mixture model is a flexible statistical tool used to represent complex data by combining multiple simpler distributions. Imagine mixing different colors of paint; each color represents a different group or pattern within the data. In this model, the number of groups isn't fixed and can grow as necessary, allowing it to adapt to the underlying structure of the data. This makes it useful in areas like clustering, where the goal is to identify natural groupings within a dataset without knowing in advance how many groups exist.