Multiple-instance learning (MIL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags. MILTree is a multiscale tree-based visualization to support MIL. The first level of the tree represents the bags, and the second level represents the instances belonging to each bag, allowing the user to understand the data in an intuitive way. MILTree is available through the Visual Classification system.
To run the project from the command line, go to the dist folder VCS_MIL_v2 and
type the following::
java -jar "VisualClassificationSystem.jar"