# A Framework for Deep Constrained Clustering

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 spectral clustering but have several limitations. A fundamental strength of deep learning is its flexibility, and here we explore a deep learning framework for constrained clustering and in particular explore how it can extend the field of constrained clustering. We show that our framework can not only handle standard together/apart constraints (without the well documented negative effects reported earlier) generated from labeled side information but more complex constraints generated from new types of side information such as continuous values and high-level domain knowledge. Furthermore, we propose an efficient training paradigm that is generally applicable to these four types of constraints. We validate the effectiveness of our approach by empirical results on both image and text datasets. We also study the robustness of our framework when learning with noisy constraints and show how different components of our framework contribute to the final performance. Our source code is available at $\href{https://github.com/blueocean92/deep_constrained_clustering}{\text{URL}}$.

## Authors

• 7 publications
• 1 publication
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• 18 publications
• ### A Framework for Deep Constrained Clustering - Algorithms and Advances

The area of constrained clustering has been extensively explored by rese...
01/07/2021 ∙ by Hongjing Zhang, et al. ∙ 0

• ### Deep Constrained Clustering - Algorithms and Advances

The area of constrained clustering has been extensively explored by rese...
01/29/2019 ∙ by Hongjing Zhang, et al. ∙ 0

• ### On Constrained Spectral Clustering and Its Applications

Constrained clustering has been well-studied for algorithms such as K-me...
01/25/2012 ∙ by Xiang Wang, et al. ∙ 0

• ### Weaponizing Unicodes with Deep Learning – Identifying Homoglyphs with Weakly Labeled Data

Visually similar characters, or homoglyphs, can be used to perform socia...
10/09/2020 ∙ by Perry Deng, et al. ∙ 0

• ### SpectralNet: Spectral Clustering using Deep Neural Networks

Spectral clustering is a leading and popular technique in unsupervised d...
01/04/2018 ∙ by Uri Shaham, et al. ∙ 0

• ### Deep Conditional Gaussian Mixture Model for Constrained Clustering

Constrained clustering has gained significant attention in the field of ...
06/11/2021 ∙ by Laura Manduchi, et al. ∙ 0