Chapter 9: Classification

This chapter covers supervised classification of data, using a number of generative and discriminative classifiers.

Bayes Decision Boundary

Simple Gaussian Naive Bayes Classification

Gaussian Naive Bayes Classification of photometry

LinearDiscriminantAnalysis Classification of photometry

QuadraticDiscriminantAnalysis Classification of photometry

Gausian Mixture Bayes Classification of photometry

K-neighbors Classification of photometry

Logistic Regression of photometry

SVM Diagram

SVM Classification of photometry

Kernel SVM Classification of photometry

Decision Tree for RR Lyrae Classification

Decision Tree Classification of photometry

Photometric Redshifts by Decision Trees

Photometric Redshifts by Random Forests

Photometric Redshifts by Random Forests

Neural Network Diagram

fig_photoz_nn.py

Convolutional Neural Network

fig_morph_nn.py

Variational AutoEncoder

fig_sdss_vae.py

RR Lyrae ROC Curves

Star/Quasar Classification ROC Curves