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- W2359112692 abstract "K-Means Clustering Algorithm is sensitive to the choice of the initial cluster center,easy to fall into a local optimal solution. In order to avoid this kind of flaw,we proposed Hybrid Parallel Genetic Algorithm.In this method,we expressed the documents set into Vector Space Model and randomly chose initial clustering centre to form chromosome among document vectors,then combined the efficiency of K-means Algorithm and the global optimization ability of Parallel Genetic Algorithm.Through heredity,variation in the community,and parallel evolution,getting married between communities,we can provide a higher efficiency and precision for text clustering.Experiments indicate that Hybrid Parallel Genetic Algorithm has higher accuracy and global optimization ability relative to the others text clustering method for example K-Means Algorithm,Genetic Algorithm and so on." @default.
- W2359112692 created "2016-06-24" @default.
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- W2359112692 date "2007-01-01" @default.
- W2359112692 modified "2023-09-27" @default.
- W2359112692 title "Research of Text Clustering Based on Hybrid Parallel Genetic Algorithm" @default.
- W2359112692 hasPublicationYear "2007" @default.
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