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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]

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clustering metric like V-Measure Score, that gives an error wrt an input label of clusters, but I am not sure what would be the approach to implement a loss like this. What would the final layer of my …
asked Apr 8 by Iván Sánchez
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, this is not a clustering problem since we have the labels for each sequence element. This is a supervised sequence labelling problem. How would this prediction be represented? As far as I know, I … have set up your network properly for a sequence labelling problem. What would my loss function be like? I guess it would be some kind of clustering metric like V-Measure Score, that gives an …
answered Jun 13 by Iván Sánchez