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• W2225373984 abstract "Clustering methods aim to find clusters or groups of similar objects in a given set of data. Common soft subspace clustering methods for text data find different clusters in subspaces using a weighted distance measure. The weighting scheme heavily affects the clustering performance and requires special consideration. Since text data has semantic information along with syntactic information, a weighting scheme, which uses semantic information, is more likely to generate a better clustering solution." @default.
• W2225373984 created "2016-06-24" @default.
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• W2225373984 date "2015-01-01" @default.
• W2225373984 modified "2023-09-27" @default.
• W2225373984 title "A Soft Subspace Clustering Method for Text Data Using a Probability Based Feature Weighting Scheme" @default.
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• W2225373984 doi "https://doi.org/10.1007/978-3-319-26187-4_9" @default.
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