Threshold setting in Dataiku for Hierarchical Clustering
In hierarchical clustering one of the key concept is threshold of distance (euclidian) which is also key differentiator from K-Means clustering. This threshold value determines which clusters to merge and which not.
In DSS, I am unable to find this setting and it's just asking me to provide number of clusters. So wanted to check how it's different in K-Means in DSS and in which ways I can provide this threshold to my algorithm.