t-distributed Stochastic Neighborhood Embedding (t-SNE), a clustering and visualization method proposed by van der Maaten & Hinton in 2008, has rapidly become a standard tool in a number of natural sciences. Despite its overwhelming success, there is a distinct lack of mathematical foundations and...
A similar study (Rose et al., 2020) applied the K-Means algorithm with a combination of 2-D mapping and t-Distributed Stochastic Neighbor Embedding (t-SNE) for a cluster post-processing routine which identifies driving factors in each cluster and building a hierarchical structure of cluster ...