Supervised k-Means Clustering - cs.cornell.edu
vised approach based on structural support vector machines, taking as input a training set S = {(x1,y1),(x2,y2),...,(xn,yn)}. Each xi ∈ X is a set of items and yi ∈ Y a complete partitioning of that set. For example, S could have xi as noun-phrases in a document and yi as the partitioning into co-referent sets, or xi as images with yi as ...
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