Notice of RetractionA hyper SVM model for multiple classifications

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.

In this paper, we proposed a Binary-Tree as a hyper model for Support Vector Machine (SVM) to achieve multiple classifications. It is well-known that SVM can be properly used for two-way classification. We applied SVM to a Blog template recommendation system in previous study and used radix sort mechanism to solve multiple classifications. But, there is still a problem that how can we decide which parameter order can be changed to reproduce a new classification. So, we constructed a hyper SVM model to solve this problem for the original SVM model. This model is included a Huffman-Tree like mechanism, called hyper SVM. Finally, we demonstrated how this enhanced SVM model to solve multiple classifications within our previous study.