In unsupervised machine learning, k-signifies clustering can be utilized to compress data by grouping very similar data factors into clusters. This technique simplifies dealing with extensive datasets that lack predefined labels and finds common use in fields such as image compression.[31]AI consulting services that assist with ideation, employee t