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• W2114979880 abstract "A resampling scheme for clustering with similarity to bootstrap aggregation (bagging) is presented. Bagging is used to improve the quality of path-based clustering, a data clustering method that can extract elongated structures from data in a noise robust way. The results of an agglomerative optimization method are influenced by small fluctuations of the input data. To increase the reliability of clustering solutions, a stochastic resampling method is developed to infer consensus clusters. A related reliability measure allows us to estimate the number of clusters, based on the stability of an optimized cluster solution under resampling. The quality of path-based clustering with resampling is evaluated on a large image data set of human segmentations." @default.
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• W2114979880 date "2003-11-01" @default.
• W2114979880 modified "2023-09-27" @default.
• W2114979880 title "Bagging for path-based clustering" @default.
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• W2114979880 doi "https://doi.org/10.1109/tpami.2003.1240115" @default.
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