K-Signifies is often a clustering algorithm that uncovers fundamental styles to team and categorize entities in unlabeled datasets. Within this instance, K refers to the volume of clusters wanted in the dataset. The algorithm aims to assign Every data point to a cluster while keeping Each and every cluster as tight-knit and distinctive as feasible.