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Deep clustering is a fundamental yet challenging task for data analysis.
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
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A K-Means Clustering Algorithm
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Matching Theory
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Handwritten Zip Code Recognition with Multilayer Networks
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RCV1: A New Benchmark Collection for Text Categorization Research
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Reducing the Dimensionality of Data with Neural Networks
Hinton, G.; and Salakhutdinov, R. R. 2006 · 2006
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Visualizing Data using t-SNE
Maaten, L. V. D.; and Hinton, G. 2008 · 2008
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Subspace Segmentation-based Robust Multiple Kernel Clustering
Zhou, S.; Zhu, E.; Liu, X.; Zheng, T.; Liu, Q.; Xia, J.; and Yin, J. 2020 · 2012
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Smart Devices Are Different: Assessing and Mitigating Mobile Sensing Heterogeneities for Activity Recognition
Stisen, A.; Blunck, H.; Bhattacharya, S.; Prentow, T. S.; Kjærgaard, M. B.; Dey, A.; Sonne, T.; and Jensen, M. M. 2015 · 2015
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Variational Graph Auto-Encoders
Kipf, T. N.; and Welling, M. 2016 · 2016
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Unsupervised Deep Embedding for Clustering Analysis
Xie, J.; Girshick, R.; and Farhadi, A. 2016 · 2016
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Improved Deep Embedded Clustering with Local Structure Preservation
Guo, X.; Gao, L.; Liu, X.; and Yin, J. 2017 · 2017
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Deep Graph Clustering in Social Network
Hu, P.; Chan, K. C. C.; and He, T. 2017 · 2017
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Deep Subspace Clustering Networks
Ji, P.; Zhang, T.; Li, H.; Salzmann, M.; and Reid, I. D. 2017 · 2017
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Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2017 · 2017
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Cascade Subspace Clusterings
Peng, X.; Feng, J.; Lu, J.; Yau, W.; and Yi, Z. 2017 · 2017
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SpectralNet: Spectral Clustering using Deep Neural Networks
Shaham, U.; Stanton, K. P.; Li, H.; Basri, R.; Nadler, B.; and Kluger, Y. 2018 · 2018
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Semi-supervised Deep Embedded Clustering
Ren, Y.; Hu, K.; Dai, X.; Pan, L.; Hoi, S. C. H.; and Xu, Z. 2019 · 2019
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Adversarial Graph Embedding for Ensemble Clustering
Tao, Z.; Liu, H.; Li, J.; Wang, Z.; and Fu, Y. 2019 · 2019
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Adversarial Incomplete Multi-view Clustering
Xu, C.; Guan, Z.; Zhao, W.; Wu, H.; Niu, Y.; and Ling, B. 2019 · 2019
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Spectral Clustering with Graph Neural Networks for Graph Pooling
Bianchi, F. M.; Grattarola, D.; and Alippi, C. 2020 · 2020
Closest in time.
Structural Deep Clustering Network
Bo, D.; Wang, X.; Shi, C.; Zhu, M.; Lu, E.; and Cui, P. 2020 · 2020
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Multi-View Attribute Graph Convolution Networks for Clustering
Cheng, J.; Wang, Q.; Tao, Z.; Xie, D.; and Gao, Q. 2020 · 2020
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Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model
Chen, J.; Milot, L.; Cheung, H. M. C.; and Martel, A. L. 2019 · 2019
Cited alongside, same era.
Dual Attention Network for Scene Segmentation
Fu, J.; Liu, J.; Tian, H.; Li, Y.; Bao, Y.; Fang, Z.; and Lu, H. 2019 · 2019
Cited alongside, same era.
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
Ghasedi, K.; Wang, X.; Deng, C.; and Huang, H. 2019 · 2019
Cited alongside, same era.
Deep Adversarial Multi-view Clustering Network
Li, Z.; Wang, Q.; Tao, Z.; Gao, Q.; and Yang, Z. 2019 · 2019
Cited alongside, same era.
Late Fusion Incomplete Multi-View Clustering
Liu, X.; Zhu, X.; Li, M.; Wang, L.; Tang, C.; Yin, J.; Shen, D.; Wang, H.; and Gao, W. 2019 · 2019
Cited alongside, same era.
Absent Multiple Kernel Learning Algorithms
Liu, X.; Wang, L.; Zhu, X.; Li, M.; Zhu, E.; Liu, T.; Liu, L.; Dou, Y.; and Yin, J. 2020a
Cited in the paper.
One2Multi Graph Autoencoder for Multi-view Graph Clustering
Fan, S.; Wang, X.; Shi, C.; Lu, E.; Lin, K.; and Wang, B. 2020 · 2020
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Graph Embedded Pose Clustering for Anomaly Detection
Markovitz, A.; Sharir, G.; Friedman, I.; Zelnik-Manor, L.; and Avidan, S. 2020 · 2020
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Learning Graph Embedding with Adversarial Training Methods
Pan, S.; Hu, R.; Fung, S.-F.; Long, G.; Jiang, J.; and Zhang, C. 2020 · 2020
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Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
Sun, K.; Lin, Z.; and Zhu, Z. 2020 · 2020
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