A relator would traditionally price a house based on the number of bedrooms, the number of bathroom, its square footage, the crime rate in it neighborhood, and the distance the house is from a school $($among other things$).$ Machine learning can be used simplify this data, and allow us to arrive at a house price with less features. This is an example of which of the following machine learning methods?

All of these methods are represented in the given example.

Generative Algorithms

Dimensionality Reduction

Clustering