The New Graphical Features of Star Plot for K Nearest Neighbor Classifier

The graphical representation or graphical analysis for multi-dimensional data in multivariate analysis is a very useful method. But it rarely is used to the pattern recognition field. The paper we use the stat plot to represent one observation or sample with multi variances and extract the new graphical features of star plot: sub-area features and sub-barycentre features. The new features are used for the K nearest neighbor classifier (KNN) with leave one out cross validation. Experiments with several standard benchmark data sets show the effectiveness of the new graphical features.