Deepな教師なしクラスタリング-Deep Clusteringまとめ




Deep Clusteringのまとめ【随時更新】

Deep Clusteringという、DeepLearningをを使用したクラスタリング手法の紹介をします。

色々なDeep Clustering手法がまとめられたzhoushengisnoob/DeepClusteringを参考にしています。

Deep Clustering

Year Paper Method Conference Check
2016 Unsupervised Deep Embedding for Clustering Analysis DEC ICML2016
2016 Joint Unsupervised Learning of Deep Representations and Image Clustering JULE CVPR 2016
2018 Deep Clustering for Unsupervised Learning of Visual Features DeepCluster ECCV2018
2018 Deep Clustering with Convolutional Autoencoders DCEC ICONIP 2018
2018 Deep Embedded Clustering with Data Augmentation DEC-DA ACML2018
2018 Deep Continuous Clustering DCC
2020 Self-labelling via simultaneous clustering and representation learning SeLa ICLR2020

Deep Clustering for Unsupervised Learning of Visual Feature(DeepCluster)(2019)

解説記事書きました

Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze.(2018).Deep Clustering for Unsupervised Learning of Visual Features

facebookresearch/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features - facebookresearch/deepcluster

Unsupervised Deep Embedding for Clustering Analysis(DEC)(2016)

Junyuan Xie, Ross Girshick, Ali Farhadi.(2016).Unsupervised Deep Embedding for Clustering Analysis

vlukiyanov/pt-dec
PyTorch implementation of DEC (Deep Embedding Clustering) - vlukiyanov/pt-dec

Deep Clustering with Convolutional Autoencoder

https://xifengguo.github.io/papers/ICONIP17-DCEC.pdf

Deep Continuous Clustering(2018)

Sohil Atul Shah, Vladlen Koltun(2018).Deep Continuous Clustering

shahsohil/DCC
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper - shahsohil/DCC

Deep Embedded Clustering with Data Augmentation

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin(2018).Deep Embedded Clustering with Data Augmentation.

XifengGuo/DEC-DA
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960). - XifengGuo/DEC-DA

Deep clustering: On the link between discriminative models and K-means

Deep clustering: On the link between discriminative models and K-means
In the context of recent deep clustering studies, discriminative models dominate the literature and report the most competitive performances. These models learn...

Joint Unsupervised Learning of Deep Representations and Image Clusters

https://arxiv.org/pdf/1604.03628.pdf

A Deep Clustering Algorithm based on Gaussian Mixture Model

https://iopscience.iop.org/article/10.1088/1742-6596/1302/3/032012/pdf

Unsupervised Multi-Manifold Clustering by Learning Deep Representation

Unsupervised Multi-Manifold Clustering by Learning Deep Representation | Semantic Scholar
In this paper, we propose a novel deep manifold clustering (DMC) method for learning effective deep representations and partitioning a dataset into clusters whe...

Deep Unsupervised Clustering With Gaussian Mixture Variational Autoencoders

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
We study a variant of the variational autoencoder model (VAE) with a Gaussian mixture as a prior distribution, with the goal of performing unsupervised clusteri...
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