Cmeans for conclusion, what k means

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.

there is a sequence and logical steps to give an answer of a trouble.

1) strategy is necessary to develop an project idea.

2) to study and know the environment where you are going to work ( ecosystem).

3)   the materials resources to built the ideas.

4) to give a priority order in the context that you study. in this case human needs.