ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation 事件

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation arXiv:2509.25289v4 Announce Type: replace-cross Abstract: Identifying an effective clustering algorithm for a given dataset remains a fundamental unsupervised learning issue. We introduce ClustRecNet, a novel end-to-end deep learning framework that recommends suitable clustering algorithm(s) by directly learning high-order representations of raw tabular data. To facilitate robust meta-learning, we fi