Research on Knowledge Resource Clustering Based on K-MEAN Algorithm

Xian De Zhuo; Wei Cui; You Chun Qiu

doi:10.4028/www.scientific.net/AMM.644-650.1629

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research on Knowledge Resource Clustering Based on...

Research on Knowledge Resource Clustering Based on K-MEAN Algorithm

Abstract:

The key of knowledge resources polymerization is to cluster the knowledge resources exist in document form, knowledge document set is divided into some clusters, require the similarity of document content within the same clusters as large as possible, and the similarity between different clusters as small as possible. In this paper, using the k-mean algorithm to cluster research knowledge resources, according to the characteristics of knowledge resources, and people in the query data mainly use keywords to query characteristics, first to clustering the keywords, map directly by the clustering results of keywords to get the initial clustering of knowledge resources, and then based on the membership degree of knowledge resources optimization clustering set.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1629-1632

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1629

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Online since:

September 2014

Authors:

Xian De Zhuo*, Wei Cui, You Chun Qiu

Keywords:

Document Clustering, Feature Weight, K-Mean Clustering Algorithm

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* - Corresponding Author

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