Self-Organizing Maps with Optimized Latent Positions

Seiki Ubukata, Akira Notsu, Katsuhiro Honda

Self-Organizing Maps (SOM) are a classical method for unsupervised learning, vector quantization, and topographic mapping of high-dimensional data. However, existing SOM formulatio…