MI Network

An MI Network (Mutual Information Network) uses advanced algorithms to analyze complex data, identifying how different variables or features are related by measuring the amount of shared information. Unlike simple correlation, MI captures both linear and nonlinear relationships, providing a more comprehensive understanding of dependencies. This approach helps in fields like machine learning and data analysis to uncover hidden patterns and improve decision-making processes by understanding the true structure of the data. In essence, MI Networks visualize and quantify the interconnectedness of data points to facilitate better insights.