Author: Asmaa Abbas; Mohammed Abdelsamea; Mohamed Gaber
Title: Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network Document date: 2020_4_1
ID: i5jk0407_5
Snippet: where n is the number of images, m is the number of features, and k is the number 75 of classes. For class decomposition, we used k-means clustering [16] to further divide 76 each class into homogeneous sub-classes (or clusters), where each pattern in the original 77 class L is assigned to a class label associated with the nearest centroid based on the 78 squared euclidean distance (SED):.....
Document: where n is the number of images, m is the number of features, and k is the number 75 of classes. For class decomposition, we used k-means clustering [16] to further divide 76 each class into homogeneous sub-classes (or clusters), where each pattern in the original 77 class L is assigned to a class label associated with the nearest centroid based on the 78 squared euclidean distance (SED):
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