K centroids, in the context of cancer, refer to a method used in clustering algorithms, particularly the K-means clustering technique. This method is essential for analyzing large datasets, such as those obtained from cancer genomics, proteomics, and other high-throughput technologies. The "K" in K centroids signifies the number of clusters or groups into which the data points are divided. Each centroid represents the center of a cluster, around which the data points within that cluster are grouped.
