Mixtures of Probabilistic Principal Component Analyzers

This chapter contains sections titled: Introduction, Latent Variable Models and PCA, Probabilistic PCA, Mixtures of Probabilistic Principal Component Analyzers, Local Linear Dimensionality Reduction, Density Modeling, Conclusions, Appendix A: Maximum Likelihood PCA, Appendix B: Optimal Least-Squares Reconstruction, Appendix C: EM for Mixtures of Probabilistic PCA, Acknowledgments, References