k-means clustering: distance from a certain datapoint to his next centroid

[ScottF]

Check out some new k-means components that address this issue:

New components: k-Means (distance) and Same-size k-Means

Dear all, I just wanted to share a couple of new k-Means components I have just added to the Hub. The first one is k-Means (distance): it’s an extension of the native k-Means node, which outputs the euclidean distance between every node and its centroid, or the centroid of each cluster. The second one is Same-size k-Means: it uses distances to force all clusters to have an equal number of points. Of course, by adding the “same-size” constraint, the clustering quality might degrade and be pa…