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An improved imbalanced AdaBoost algorithm called ImAdaBoost was proposed for four-chamber plane detection in cardiac ultrasound images. By assigning dynamic weight adjustment factor to each sample according the precision and true positive rate of weak learner, imbalanced classification problem was converted to cost-sensitive classification problem. Template matching method was used to detect the degree...
This paper proposes a K-means algorithm with the dynamic adjustable number of clusters. The algorithm uses the improved Euclidean distance formula to calculate the distance between the cluster center and data, by judging whether the distance is greater than the threshold to automatically adjust the number of clusters. Finally, the improved algorithm is applied to intrusion detection system to detect...
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