Dear all, I am a bit confuse about how cluster node in sas miner handle k-means and hierarchical clustering. I read book 'Data Mining using SAS Enterprise Miner', it says that "The number of Cluster option actually determines if you would like to perform either hierarchical or partitive clustering(K-means). Hierarchical clustering can be performed by selecting the Automatic option.... Conversly, selecting the User Specify option perfors partitive clustering ". When we choose Number of clusters 'Automatic', we can choose clustering method under selection criterion either ward, average or centroid. My confusion here is, if I choose Number of clusters 'Automatic' which mean that I perform Hierarchical Clustering then what is the use of Seed Initialization Method ? I have tried that different Seed Initialization Method gave different number of clusters on automatic mode. It is confusing since as I understand, hierarchical clustering doesn't initialization seed. Anybody can explain about it? Thank you
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