self-organizing maps

Self-Organizing Maps (SOMs) are a type of artificial intelligence used to visualize and organize complex data. Imagine a digital map where similar items cluster together. SOMs take high-dimensional data, like images or text, and transform it into a simpler, two-dimensional format. Each location on this map represents similar data points, helping users identify patterns and relationships. This technique is valuable in fields like marketing, biology, and finance, where understanding complex datasets is crucial for decision-making and insights. Essentially, SOMs help us make sense of data by grouping it in a way that’s easy to interpret.