We study the problem of applying spectral clustering to cluster multi-scale data, which is data whose clusters are of various sizes and densities.
In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms.
The number of microtasks depends on the budget allocated for the problem.