On the Use of Self-Organizing Map for Text Clustering in Engineering Change Process Analysis: A Case Study

Figure 1

SOM training algorithm. Each neuron has a prototype vector , which corresponds to a point in the embedding input space. An input vector will select that neuron with closest to it. Adjustment of the weight vector for the winning output neuron and its neighbors through quantity . Adapted from Ritter et al. [7].