K-Usually means is often a clustering algorithm that uncovers fundamental designs to group and categorize entities in unlabeled datasets. In this particular instance, K refers to the volume of clusters needed in the dataset. The algorithm aims to assign Each individual facts level to your cluster while holding Each and every cluster as limited-knit