Self-organizing context learning

This work is designed to contribute to a deeper understanding of the recently proposed Merging SOM (MSOM). Its context model aims at the representation of sequences, an important subclass of structured data [7]. In this work, we revisit the model with a focus on its fractal context encoding and the convergence of its recursive dynamic. Experiments with artificial and real world data support our findings and demonstrate the power of the MSOM model.

• Type: Conference
• Year: 2004
• Where: ESANN
• Authors: Marc Strickert, Barbara Hammer
• Keywords: Context Model, Deeper Understanding, ESANN 2004, ESANN 2007, Important Subclass