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Clustering - What is the difference between KMeans and clustering?
Answer
While KMeans clustering is quick and easy, it assumes clusters are uniform in size and shape, which isn't always the case. On the other side, cluster counts need not be known in advance when using Agglomerative Clustering, which can handle clusters of varying sizes and shapes.
