This repository contains the source code used for the project.
The scope of the project is classification of clothing images from a subset of the FashionMNIST dataset.
Dimensionality reduction methods used:
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
Machine Learning classification methods used:
- Naive Bayes
- Support Vector Machines
- Convolutional Neural Network
The project has been worked out by Andreas Kruse Svenningsen and Sebastian Nygaard Wærling