Self-organizing Maps for Text Similarity Analysis

Self-Organizing Maps (SOMs) are a form of unsupervised neural network that are used for visualization and exploratory data analysis of high dimensional datasets. Through a paper presentation, I explained how to use SOM on text similarity analysis in a visual method.