Machine Learning · 29. April 2023

K-Means clustering: think of it as organizing a room full of strangers into smaller friend groups based on shared interests. Similarly, K-Means groups data points based on their similarities. In finance, this helps in classifying customers, investments, or market trends. By uncovering hidden patterns, K-Means offers valuable insights, guiding better decisions in portfolio management and customer service. A handy tool for making sense of vast data!