What is dimensionality reduction?
Dimensionality reduction is the process of transforming a high-dimensional data set, into a more compact representation with fewer features.
dimensionality
What is Independent Component Analysis (ICA), and how is it distinguished from PCA?
ICA is a specialized dimensionality reduction technique that is used for finding independent components within a multivariate signal.
What is Principal Component Analysis (PCA), and how does it differ from clustering?
Principal Component Analysis (PCA) is a dimension reduction technique.
What is the Curse of Dimensionality?
The curse of dimensionality refers to the potential dangers associated with modeling from a dataset that has a large number of features.