petermchale/anomaly-detection-with-pcas-and-autoencoders

Clustering and Anomaly Detection: From PCA to Autoencoder

Motivation

https://docs.google.com/presentation/d/1dyfjY2duwiCZNmFDOy7tdh3JRXiD0LzcIxvGJEYdhMI/edit?usp=sharing

Introduction to PCA

• Approximating faces: https://github.com/petermchale/math105A/blob/master/lab_worksheets/Lab10/Lab10_answers.ipynb
• Approximating time series: https://github.com/petermchale/math105A/blob/master/lab_worksheets/Lab11_answers.ipynb

PCA for clustering and anomaly detection

https://github.com/petermchale/anomaly-detection-with-pcas-and-autoencoders/blob/main/2D.1.ipynb

Autoencoders

• PCA as an autoencoder: https://github.com/petermchale/anomaly-detection-with-pcas-and-autoencoders/blob/main/2D.2.ipynb
• Detecting outlier genes using an autoencoder: https://github.com/petermchale/anomaly-detection-with-pcas-and-autoencoders/blob/main/4D.ipynb