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Found 2 papers, 1 papers with code
Contrastive Hierarchical Clustering
Deep clustering has been dominated by flat models, which split a dataset into a predefined number of groups.
Ranked #1 on
Image Clustering
on MNIST
Prediction of motor insurance claims occurrence as an imbalanced machine learning problem
However it must be stressed, that significant number of applications for machine learning in insurance industry, like fraud detection or claim prediction, deals with the problem of machine learning on an imbalanced data set.
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