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Jan, 2019
深度约束聚类框架——算法和新进展
Deep Constrained Clustering - Algorithms and Advances
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Hongjing Zhang, Sugato Basu, Ian Davidson
TL;DR
这篇论文介绍了一种基于深度学习的约束聚类框架，可应用于连续数据和高层领域知识等不同类型的约束条件，相比基于传统算法的方法，效果更好。
Abstract
The area of
constrained clustering
has been extensively explored by researchers and used by practitioners.
constrained clustering
formulations exist for popular algorithms such as k-means, mixture models, and spe
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