Fig. 3
From: Parallel multiple instance learning for extremely large histopathology image analysis
Illustrations of cluster competition using max-margin linear classifier. Green and red dots represent two classes. In a, two classes are initialized by K-means method. In b–d, cluster competition takes place until the model converges. Specifically, instances in each class are classified by linear classifiers, according to which they update their labels. Then, a new classifier is trained based on the new labels. The cluster competition converges when both classifiers and labels of instances become in a stable state