tags:
- AI/Tasks/DimensionalityReduction
aliases:
- Dimensionality Reduction Techniques
- Feature Reduction
Dimensionality Reduction Technique(Feature Reduction) is the process of reducing the number of features in a resource heavy computation without losing important information. it reduces model complexity and Overfitting at the cost of accuracy.
Dimensionality Reduction is part of two processes:
Dimensionality Reduction is a response to the problems caused by the Curse of Dimensionality, such as increased complexity of models, increased errors, and need for more data.
Algorithms: