SCRLM

Supporting code for our paper:

• Y. Zhou, K. Gallivan, A. Barbu. Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. Journal of Computational and Graphical Statistics, 1-17, 2024. https://ieeexplore.ieee.org/abstract/document/10647425](https://www.tandfonline.com/doi/full/10.1080/10618600.2024.2414889

Files:

• test_GMM_bounds.ipynb to compute experimental bounds discussed in Sections 4.1.1 and 4.1.2
• scrlm.m contains the SCRLM code
• scrlm_kmeans contains SCRLM+kmeans code
• test_mnist.m to compare all the methods on the MNIST dataset
• test_mnist_purity.m to compare the purity of all the methods on the MNIST dataset