/DeepClustering

Methods and Implements of Deep Clustering

Deep Clustering: methods and implements

Survey Paper Conference Code
A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture IEEE ACCESS 2018
Clustering with Deep Learning: Taxonomy and New Methods Arxiv 2018 Theano
Pre-print Paper Method Conference Code
Differentiable Deep Clustering with Cluster Size Constraints - Arxiv 2019 -
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. N2D Arxiv 2019 TensorFlow
Attributed Graph Clustering: A Deep Attentional Embedding Approach Arxiv 2019
Deep Continuous Clustering DCC Arxiv 2018 Pytorch
Graph Clustering with Dynamic Embedding GRACE Arxiv 2017
Deep Unsupervised Clustering Using Mixture of Autoencoders MIXAE Arxiv 2017
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders DBC Arxiv 2017
Deep Clustering Network DCN Arxiv 2016 Theano
Clustering-driven Deep Embedding with Pairwise Constraints CPAC Arxiv 2018 Pytorch
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features DTC Arxiv 2018 Keras
Paper Method Conference Code
Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019 Python
Selective Sampling-based Scalable Sparse Subspace Clustering S5C NIPS 2019 MATLAB
Unsupervised Clustering using Pseudo-semi-supervised Learning Kingdra ICLR 2020 Keras
Spectral Clustering with Graph Neural Networks for Graph Pooling - ICML 2020 TensorFlow
Self-labelling via simultaneous clustering and representation learning SeLa ICLR2020 Pytorch
Deep clustering: On the link between discriminative models and K-means SoftK-means TPAMI 2020 Python
Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss DERC TIP2020 TensorFlow
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering LTVAE ICLR 2019 Pytorch
Balanced Self-Paced Learning for Generative Adversarial Clustering Network ClusterGAN CVPR2019
Deep Embedded Clustering with Data Augmentation DEC-DA ACML 2018 TensorFlow
Adaptive Self-paced Deep Clustering with Data Augmentation ASPC-DA TKDE 2019 TensorFlow
Structural Deep Clustering Network SDCN WWW 2020 Pytorch
Learning to Cluster Faces on an Affinity Graph LTC CVPR 2019 Pytorch
Video Face Clustering with Unknown Number of Clusters BCL ICCV 2019 Pytorch
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body ClusterSLAM ICCV 2019
Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding DGG ICCV 2019 Coming Soon
Deep Comprehensive Correlation Mining for Image Clustering DCCM ICCV 2019 Pytorch
Invariant Information Clustering for Unsupervised Image Classification and Segmentation IIC ICCV 2019 Pytorch
Subspace Structure-aware Spectral Clustering for Robust Subspace Clustering ICCV 2019
Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV 2019
Deep Spectral Clustering using Dual Autoencoder Network ICCV 2019 Tensorflow
Learning to Discover Novel Visual Categories via Deep Transfer Clustering DTC ICCV 2019 Pytorch
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering RMSL ICCV 2019
GEMSEC: Graph Embedding with Self Clustering GEMSEC ASONAM 2019 TensorFlow
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks ClusterGAN AAAI 2019 TensorFlow
Adversarial Graph Embedding for Ensemble Clustering AGAE IJCAI 2019
A Hybrid Autoencoder Network for Unsupervised Image Clustering Algorithms 2019
A Deep Clustering Algorithm based on Gaussian Mixture Model Journal of Physics: Conference Series 2019
Deep Clustering for Unsupervised Learning of Visual Features DeepCluster ECCV 2018 Pytorch
Deep Clustering with Convolutional Autoencoders DCEC ICONIP 2018 Keras
SpectralNet: Spectral Clustering Using Deep Neural Networks SpectralNet ICLR 2018 TensorFlow
Subspace clustering using a low-rank constrained autoencoder LRAE Information Science 2018
Unsupervised Multi-Manifold Clustering by Learning Deep Representation AAAI 2017 Workshop
Deep Discriminative Latent Space for Clustering NIPS 2017
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering DCN PMLR 2017 Theano
Deep Unsupervised Clustering With Gaussian Mixture Variational AutoEncoders GMVAE ICLR 2017 Lua
Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering NIPS 2017 Workshop Pytorch
Improved Deep Embedded Clustering with Local Structure Preservation IDEC IJCAI 2017 Keras,Pytorch
Deep Clustering via joint convolutional autoencoder embedding and relative entropy minimization DEPICT ICCV 2017 Theano
Deep Adaptive Image Clustering ICCV 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering VaDE IJCAI 2017 Keras
Deep Subspace Clustering Networks DSC-Nets NIPS 2017 TensorFlow
Unsupervised Deep Embedding for Clustering Analysis DEC ICML 2016 Caffe TensorFlow
Joint Unsupervised Learning of Deep Representations and Image Clustering JULE CVPR 2016 Torch
Clustering Meets Implicit Generative Models ICLR 2019 workshop
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data IEEE Transactions on Multimedia 2017
Deep Embedding Network for Clustering DEN ICPR 2014
Auto-encoder Based Data Clustering ABDC CIARP 2013 Pytrorch
Learning Deep Representations for Graph Clustering AAAI 2014 python
Discriminative Clustering by Regularized Information Maximization RIM NIPS 2010

TIPS

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