K-means is an unsupervised partitioning algorithm used to organize unlabeled data into clusters. It does this by creating a logical scheme to make sense of the data.
In k-means, the centroid is the point at which each cluster is defined. Its position represents the center of the cluster, also known as the mathematical mean.
Step four involves repeating steps two and three until the algorithm converges.
Fill in the blank: K-means is an unsupervised partitioning algorithm used to organize _____ data into clusters.
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