Lin Wang

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The research aim is to use three clustering technologies for establishing molecular data model of large size sets by comparison between low energy samples (LES) and local molecular samples (LMS). Hierarchical cluster of multi-level tree distance relation, competitive learning network of similar inputs falling into the same cluster and topological SOM are(More)
The feature selection is an important part in automatic classification. In this paper, we use the HowNet to extract the concept attributes, and propose CHI-MCOR method to build a feature set. This method not only selects the highly occurring words, but also selects the word whose occurrence frequency is middle or low occurring words that are important for(More)
The feature selection is an important part in automatic text classification. In this paper, we use a Chinese semantic dictionary-Hownet to extract the concepts from the word as the feature set, because it can better reflect the meaning of the text. We construct a combined feature set that consists of both sememes and the Chinese words, propose a CHI-MCOR(More)
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