DAGger: Clustering Correlated Uncertain Data
نویسندگان
چکیده
◮ It can compute exact and approximate probabilities with error guarantees for the clustering output. State-of-the-art techniques (e.g. UK-means, UKmedoids, MMVar): ◮ do not support the possible worlds semantics, ◮ lack support for correlations and assume probabilistic independence, ◮ use deterministic cluster medoids or expected means, and ◮ can only compute clustering based on expected distances. In many cases, the output is a hard clustering that assigns each object to one cluster, like in deterministic k-medoids or k-means. DAGger’s Approach
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