Lower-Dimensional Representation
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A Lower-Dimensional Representation is a representation of a data set that requires fewer information dimensions.
- Context:
- It can be the output of a Dimensionality Reduction Task.
- It can range from being a Lossy Lower-Dimenstional Representation to being a Non-Lossy Lower-Dimenstional Representation.
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- Counter-Example(s):
- See: Model, Semantic Model, Latent Dirichlet Allocation.