Notice of RetractionA Novel Method of Three Dimensional Text Representation

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

According to the high-dimensional sparse features of the storage of the textual document, this paper puts forward a novel model through 3-dimensional space to express text data, in this model, one dimension registers the count of feature words, another denotes the part of speech of the feature words, and the third one records the count of textual documents, that is, the 3-dimensional space model expresses each textual document into a 2-dimensional plain model. Compared to the vector space model (VSM), the 3-dimensional space model has greatly reduced the dimensions of text representation and the computing time of the text similarity, which has made a great contribution to reduce the complexity of each clustering methods. Finally, experiments prove that the text representation through 3-dimensional space model excels through vector space model.