Corpus ID: 30627795

Semantically Document Clustering Using Contextual Similarities

@inproceedings{Nagaraj2016SemanticallyDC,
  title={Semantically Document Clustering Using Contextual Similarities},
  author={Raviprakash Nagaraj and X. Agnise Kalarani},
  year={2016}
}
  • Raviprakash Nagaraj, X. Agnise Kalarani
  • Published 2016
  • Efficient Document clustering can be performed based on the term level, sentence level and concept level techniques in the high dimensional document space. Most of the existing techniques have problems such as two-variable problem, high computational time and low similarity relatedness which reduces the clustering efficiency. To overcome the existing drawbacks, a hybrid clustering algorithm called Semantically Document Clustering algorithm is proposed in this paper. The Semantically Document… CONTINUE READING
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