Text Hierarchical Clustering Based on Several Domain Ontologies
基于多个领域本体的文本层次被定义聚类方法

Keywords: appearing in documents,Since these methods may lead to the loss of lots of semantic information,their clustering results are not accurate enough and often need large amount of computation,A new method for hierarchically clustering documents based on several domain ontologies was proposed,This method first transformed keyword-based vectors into corresponding concept-based vectors making use of several domain ontologies,Then,a formula was given for calculating similarities between different docume

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Abstract:

Traditional clustering methods are usually based on the similarity of

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