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K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure
We then extend the applicability of the K-sets+ algorithm from data points in a semi-metric space to data points that only have a symmetric similarity measure.
A Mathematical Theory for Clustering in Metric Spaces
Such a duality result leads to a dual K-sets algorithm for clustering a set of data points with a cohesion measure.
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