K-means clustering technique is a simple quick algorithm that can be applied to large datasets to separate them into different partitions; analysis of these partitions may provide a better characterization of neck pathologies and may be of additional benefit in distinguishing benign and malignant
k means clustering in a unsupervised learning, which is used when you have unlabled data.
