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- W2381361593 abstract "The calculating way proposed in this paper is to calculate the likeness degree of Chinese message and a message is gottern which embedded in the semantic space by using the Isomap method.This paper analyzes the messages according to the different clustering types in low-dimensional embedding.This algorithm has overcome difficulties in analyzing messages of traditional clustering types on different layers,and it has also overcome weakness of word frequency statistics which can not gather the similar meaning messages together.Experimental result indicates the algorithm is effective." @default.
- W2381361593 created "2016-06-24" @default.
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- W2381361593 date "2009-01-01" @default.
- W2381361593 modified "2023-09-24" @default.
- W2381361593 title "Chinese short messages text clustering algorithm based on Isomap" @default.
- W2381361593 hasPublicationYear "2009" @default.
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