Lazy Self-Organizing Map and its behaviors

— The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo Kohonen. This study proposes the Lazy SelfOrganizing Map (LSOM) algorithm which reflects the world of worker ants. In LSOM, three kinds of neurons exist: worker neurons, lazy neurons and indecisive neurons. We apply LSOM to various input data set and confirm that LSOM can obtain a more effective map reflecting the distribution state of the input data than the conventional SOM.

• Type: Conference
• Year: 2008
• Where: IJCNN
• Authors: Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio
• Keywords: Artificial Intelligence, IJCNN 2008, Indecisive Neurons, Lazy Neurons, Worker Neurons