Robust ML

Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification

A tensor provides a concise way to codify the interdependence of complex data. Treating a tensor as a d-way array, each entry records the interaction between the different indices. Clustering provides a way to parse the complexity of the data into …

Climate Biome Clustering

This work aims to determine climate biomes directly from data, determine where they are changing, and assign a value of trust to our classification.

Tensor Factorizations of Southern Ocean

The goal of this work is to discover and analyze climatic signatures within E3SM MPAS-O data of the Southern Ocean.