Lecture 18 - Dimensionality Reduction

Contents

Lecture 18 - Dimensionality Reduction#

Objectives#

  • Define the dimensionality reduction problem.

  • Use principal component analysis to solve the dimensionality reduction problem.

  • Combine principal component analysis with k-means to solve high-dimensional clustering problems.

  • Combine principal component analysis with the Gaussian mixture model to solve high-dimensional density estimation problems.

Contents