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- W2391116615 abstract "To make up for lack of full-text search engine effectively,a dynamic solution for optimal density clustering algorithm is proposed and designed.The algorithm uses a combined regimen of density clustering algorithm and hierarchical clustering algorithm,and between a cluster tree is constructed,at the same time a dynamic solution for clustering parameters e is used to achieve the optimal parameter e.Compared with other text clustering algorithms,the algorithm can return the results which related to the user's interest topics,improve the query accuracy of the ambiguous words,effectively improve the efficiency of search engine,contribute to quick search for information." @default.
- W2391116615 created "2016-06-24" @default.
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- W2391116615 date "2012-01-01" @default.
- W2391116615 modified "2023-09-26" @default.
- W2391116615 title "Optimal density text clustering algorithm based on DBSCAN" @default.
- W2391116615 hasPublicationYear "2012" @default.
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