FaCT

FaCT (Formal Concept Analysis for Clustering and Tagging) is a mathematical framework used to organize and analyze complex data by identifying meaningful relationships among items and their attributes. It creates a structured diagram, called a concept lattice, that visually groups data points sharing common features. This helps in discovering patterns, categorizing data, and improving search or recommendation systems. Essentially, FaCT provides a systematic way to understand how different pieces of information relate to each other, making data more accessible and meaningful for analysis and decision-making.