An Improved k‐Nearest Neighbor Algorithm for Recognition and Classification of Thyroid Nodules
Xuesi Ma,
Xiang Han,
Lina Zhang
Abstract:ObjectivesTo complete the task of automatic recognition and classification of thyroid nodules and solve the problem of high classification error rates when the samples are imbalanced.MethodsAn improved k‐nearest neighbor (KNN) algorithm is proposed and a method for automatic thyroid nodule classification based on the improved KNN algorithm is established. In the improved KNN algorithm, we consider not only the number of class labels for various classes of data in KNNs, but also the corresponding weights. And w… Show more
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