🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤
We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.
Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!
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?