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The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
input ncluster for k-means
I am new to rapidminer. I am interested in applying k-means clustering for a dataset consisting of a few thousand elements, and the attributes are real valued. So, the standard, sum of squared distances to the centroid will work as the metric for convergence.
A couple of trials I have run using k-means just partitions the data into two clusters, which seems to be the default? How can specify the number of clusters?