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.

no

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explanation:

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