Linear Dimensionality Compression Algorithm

A Linear Dimensionality Compression Algorithm is a dimensionality compression algorithm that uses a linear model (to solve a dimensionality compression task).

• Example(s):
  • Independent Component Analysis.
  • Linear Principal Component Analysis.
  • Singular Value Decomposition.
  • Karhunen Loeve Transform.
• Counter-Example(s):
  • a Nonlinear Dimensionality Compression Algorithm.
• See: Principal Curves, Pairwise Distance Algorithm, Sammon Projection, Latent Factor Analysis.

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References

2004

• (Duin & Loog, 2004) ⇒ R. P. W. Duin, and M. Loog. (2004). “Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: the Chernoff criterion.” In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(6).

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