Automated Classification of Glandular Tissue by Statistical Proximity Sampling

Figure 10

Classification results for the breast dataset, using only the features derived by statistical proximity sampling. Classifiers used are the linear support vector classifier (SVC), -nearest neighbor classifier (KNN), the logistic classifier (Logistic), and normal-based linear discriminant classifier (LDC). (a) 10-fold cross-validation error. (b) Classifier learning curves. Error bars represent one standard deviation.

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