New Cloth unto an Old Garment: SOM for Regeneration Learning

Rewbenio A. Frota, Guilherme A. Barreto, Marley M.B.R. Vellasco, Candida Menezes de Jesus

Unsupervised Learning-based Data Collection Planning with Dubins Vehicle and Constrained Data Retrieving Time

Jindřiška Deckerová, Jan Faigl

Hyperbox Learning Vector Quantization Based on Min-Max-Neurons

Thomas Villmann, Thomas Davies, Alexander Engelsberger

Sparse Clustering with K-means - Which Penalties and for Which Data?

Marie Chavent, Marie Cottrell, Alex Mourer, Madalina Olteanu

Is t-SNE Becoming the New Self-organizing Map? Similarities and Differences

Lee John A.

Pursuing the Perfect Projection: A Projection Pursuit Framework for Deep Learning

Jan-Ole Perschewski, Johann Schmidt, Sebastian Stober

Generalizing Self-Organizing Maps: Large-Scale Training of Gaussian Mixture Models and Applications in Data Science

Alexander R.T. Gepperth

A Self-Organizing UMAP For Clustering

Joshua Jordan Taylor, Stella Offner

Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation

Marika Kaden, Julius Voigt, Katrin Bohnsack, Mandy Lange-Geisler, Thomas Villmann

Exploring Data Distributions In Machine Learning Models With SOMs

Caroline König, Alfredo Vellido

Interpretable Machine Learning In Endocrinology: A Diagnostic Tool In Primary Aldosteronism

Michael Biehl, David Pavlov, Alice Sitch, Alessandro Prete, Wiebke Arlt