Big Text Data Clustering using Class Labels and Semantic Feature Based on Hadoop of Cloud Computing

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Data Management
Format: PDF
Clustering of class labels can be generated automatically, which is much lower quality than labels specified by human. If the class labels for clustering are provided, the clustering is more effective. In classic document clustering based on vector model, documents appear terms frequency without considering the semantic information of each document. The property of vector model may be incorrectly classified documents into different clusters when documents of same cluster lack the shared terms. To overcome this problem are applied by the knowledge based approaches.
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