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- W116242023 abstract "The rough set knowledge discovery process for the clustering, the use of the properties have defined the similarity between two objects on the Complete Works of calculation, find the selected object and all other equivalence classes of objects of different equivalence classes Complete access to the property on the intersection of the object that the initial equivalence class, then the initial indiscernibility equivalence classes of modified, merged subclasses, a final clustering results. Proved by the rough clustering derived knowledge discovery method is feasible, improve the speed of cluster computing, clustering results are reasonable." @default.
- W116242023 created "2016-06-24" @default.
- W116242023 creator A5032437498 @default.
- W116242023 date "2011-12-03" @default.
- W116242023 modified "2023-09-23" @default.
- W116242023 title "Clustering Based on Rough Set Knowledge Discovery" @default.
- W116242023 cites W2099404336 @default.
- W116242023 doi "https://doi.org/10.1007/978-3-642-25538-0_78" @default.
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