K-Groups are a type of clustering method used in data analysis to group similar items together. The "K" in K-Groups refers to the number of clusters that the user specifies before the analysis begins. This technique helps in identifying patterns and relationships within large datasets, making it easier to understand complex information. In K-Groups, each item is assigned to the nearest cluster based on certain characteristics or features. The algorithm iteratively adjusts the clusters to minimize the differences within each group. This method is commonly used in various fields, including marketing, biology, and image processing.