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IMPROVEMENTS TO NEAREST NEIGHBOR CLASSIFIER BY USING PATTERN SYNTHESIS

we have several types of classifiers in data mining. classifier: which classify the actual class label of unknown object .  some of them are

                           1: bayes classifier

                           2:naive bayes classfier

                           3:nearest neighbor classifier

                           4:neural networks

                           5:support vector machines   etc....

                                             from the above one's i choosen NNC. In NNC also we have several types K-NNC, DC-KNNC, Overlap K-NNC. These are stepwise improvements to NNC. The above specified NN-classifers provide some greater classification accuracy then previous one's. So in duration of my project work i have to show some greter classification accuracy than existing methods.



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Thu, 10/03/2011 - 13:39

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