K-Means Clustering

An algorithm that partitions data into clusters.

K-Nearest Neighbours (KNN)

A simple ML algorithm for classification and regression.

Kernel

A function used in ML methods such as SVMs.

Knowledge Distillation

Compressing large models into smaller, faster ones.

Knowledge Graph

A structured representation of entities and their relationships.

Knowledge Cutoff

The date beyond which an AI model's training data does not extend. Because models are trained on data up to a fixed point, they may not reflect recent brand news, product launches, or market changes. Knowledge cutoff is relevant to GEO strategy — it explains why brands cannot rely on historical content alone and need ongoing AI visibility tracking to understand how they are currently represented.