Comparing the hierarchical clustering and k-means clustering methods: Select all that are correct. Comparing the hierarchical clustering and k-means clustering methods: Select all that are correct. k-means requires to pre-determine the number of segments, hierarchical clustering does not require that. with the same large data set, it generally takes longer to run hierarchical clustering than k-means clustering. k-means clustering cannot find results when the number of segments is larger than 10
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