Deep Clustering论文列表（全）

转自 https://github.com/zhoushengisnoob/DeepClustering

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
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

Paper	Method	Conference	Code
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
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	CaffeTensorFlow
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
Deep Adaptive Image Clustering