deep-clustering

There are 4 repositories under deep-clustering topic.

yueliu1999 / Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
deep-clustering graph-neural-networks self-supervised-learning representation-learning surveys data-mining deep-learning graph-convolutional-networks graph-embedding network-embedding gcn machine-learning clustering data-mining-algorithms graphclustering
Language:Python 946
bdy9527 / SDCN
Structural Deep Clustering Network
deep-clustering graph-convolutional-networks self-supervised-learning knn-graphs autoencoder
Language:Python 274
yueliu1999 / HSAN
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
clustering data-mining deep-clustering deep-learning graph-clustering graph-neural-networks graphclustering machine-learning network-embedding representation-learning self-supervised-learning unsupervised-learning contrastive-learning
Language:Python 214
yueliu1999 / DCRN
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
self-supervised-learning graph-neural-networks deep-clustering representation-learning deep-learning graph-convolutional-networks network-embedding pytorch unsupervised-learning data-mining gcn graph-convolutional-network
Language:Python 196
Deepayan137 / DeepClustering
A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
python3 pytorch-implmention pytorch deep-learning unsupervised-learning deep-clustering
Language:Python 140
JusperLee / Deep-Clustering-for-Speech-Separation
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
speech-separation segmentation pytorch deep-clustering
Language:Python 131
thuiar / OKD-Reading-List
Papers for Open Knowledge Discovery
out-of-domain-detection out-of-distribution-detection intent-discovery natural-language-processing natural-language-understanding deep-clustering machine-learning computer-vision open-world-classification open-set-recognition
Language:TeX 120
Marigoldwu / A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
deep-clustering graph-clustering deep-learning graph-attention-networks graph-convolutional-neural-networks self-supervised-learning deep-graph-clustering data-mining deep-graph-clustering-framework machine-learning
Language:Python 104
WxTu / DFCN
AAAI 2021-Deep Fusion Clustering Network
deep-clustering graph-neural-network self-supervised-learning
Language:Python 80
ZJU-DAILY / E2DTC
Source code for E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. ICDE 2021.
deep-clustering trajectory metric-learning
Language:Python 77
Closed11 / Unsupervised-Image-Classification
A very simple self-supervised image classification framework!
image-classification unsupervised-learning self-supervised-learning deep-clustering clustering-algorithm representation-learning
Language:Python 50
FabianFalck / mfcvae
Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.
multi-facet-clustering deep-clustering variational-autoencoder deep-generative-models clustering vade variational-deep-embedding
Language:Python 41
ZhihaoPENG-CityU / MM21---AGCN
The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
feature-fusion deep-clustering attention-based-mechanism multi-scale-features
Language:Python 34
HHU-MMBS / TEMI-official-BMVC2023
[BMVC2023] Official code for TEMI: Exploring the Limits of Deep Image Clustering using Pretrained Models
bmvc2023 deep-clustering image-clustering pretrained-models
Language:Python 26
waynezhanghk / gactoolbox
Graph Agglomerative Clustering (GAC) toolbox
clustering graph dbscan spectral-clustering deep-clustering image-clustering
Language:C++ 26
parasdahal / deepclustering
Code for Learning Embedding Space for Clustering From Deep Representations [IEEE BigData 2018]
clustering deep-clustering
Language:Python 22
waynezhanghk / gacluster
Graph Agglomerative Clustering Library
clustering image-clustering spectral-clustering graph-clustering community-detection fashion-mnist mnist agglomerative-clustering hierarchical-clustering deep-clustering clustering-evaluation k-means unsupervised-learning spectral-clustering-algorithm dbscan
Language:MATLAB 22
tntek / N2DCX
Official implementation for [N2DCX] Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
transfer-learning domain-adaptation deep-clustering nearest-neighbor
Language:Python 20
liunian-Jay / ICMVC
[AAAI 2024] The official code of "Incomplete Contrastive Multi-View Clustering with High-confidence Guiding"
deep-learning gnn multi-view multi-view-clustering clustering-algorithm deep-clustering
Language:Python 19
shashikg / X-Vector-Based-Speaker-Diarization
Course project for EE698R (2020-21 Sem 2). An X-Vector Based Speaker Diarization System with AutoEncoder based clustering method. Also supports spectral and KMeans clustering method.
python pytroch speaker-diarization deep-clustering deep-learning
Language:Jupyter Notebook 14
jsvir / idc
Interpretable Deep Clustering for Tabular Data (ICML 2024)
deep-clustering feature-selection interpretable-deep-learning interpretable-machine-learning sparse-representations
Language:Jupyter Notebook 11
juselara1 / dmae
TensorFlow implementation of the Dissimilarity Mixture Autoencoder: https://arxiv.org/abs/2006.08177
clustering autoencoder deep-clustering deep-learning dissimilarity-mixture-autoencoder tensorflow
Language:Python 11
Mr-SGXXX / Clustering
The collection and reproduction code of the clustering methods I have known
clustering pytorch datasets deep-learning machine-learning paperlist unsupervised-learning clustering-tools deep-clustering classical-clustering
Language:Python 10
yisiyu95 / R2FGC
[Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering
deep-clustering graph-clustering graph-neural-networks graph-representation-learning relational-learning self-supervised-learning
Language:Python 10
Ghiara / DIVA
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder
deep-clustering dirichlet-process-mixtures generative-model variational-autoencoder incremental-learning
Language:Jupyter Notebook 9
goamegah / pytorch-stc
PyTorch implementation of Self-training approch for short text clustering
autoencoder clustering deep-learning machine-learning pytorch representation-learning self-training short-text stc deep-clustering sentence-embeddings
Language:Python 8
XiplusChenyu / Vocal-Track-Extraction-Deep-Learning
This is a project for Columbia Research Project
u-net deep-clustering music-source-separation pytorch
Language:Jupyter Notebook 7
dung321046 / ConstrainedClusteringViaPostProcessing
Submission for DS 2020
constrained-clustering ilp cop-kmeans deep-clustering
Language:Python 4
GraphEoM / GSCAN
GSCAN: Graph Stability Clustering using Edge-Aware Excess-of-Mass
clustering deep deep-clustering gnn graph graph-algorithms excess-of-mass grap-clustering
Language:Python 4
aciobanusebi / deep-clustering
deep-learning machine-learning deep-clustering k-means gmm-clustering
Language:Jupyter Notebook 2
DolbyUUU / Deep-Clustering-Economic-Preferences
Economic preference clustering analysis using generative and deep learning models, including Gaussian Mixture Models (GMM), Wishart Mixture Models (WMM), and Variational Deep Embedding (VaDE).
bayesian-gmm clustering-algorithm deep-clustering deep-learning economic-preferences gaussian-mixture-models mixture-models
Language:Python 2
mieskolainen / hypertrack
HyperTrack: Neural Combinatorics for High Energy Physics [arXiv:2309.14113]
clustering high-energy-physics transformer graph-neural-networks contrastive-learning deep-clustering gnn
Language:Python 2
tchewik / unsupervised_openie
Deep clustering for relation extraction
deep-clustering relation-extraction
Language:Jupyter Notebook 2
Zarmina97 / DBC_Ai_industry
Discriminately Boosted Clustering (DBC) builds on DEC by using convolutional autoencoder instead of feed forward autoencoder. It uses the same training scheme, reconstruction loss and cluster assignment hardening loss as DEC. DBC achieves good results on image datasets because of its use of convolutional neural network.
deep-clustering
Language:Jupyter Notebook 2
AhmetSelimPehlivan / Agri-Land-Detection
Suitable Agriculture Land Detection from Satellite Imaginary with Deep Clustering
deep-clustering deep-learning keras machine-learning python pytorch tensorflow
Language:Jupyter Notebook 1
hewei98 / CgMCR2
Graph Cut-guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering
computer-vision deep-clustering pattern-recognition
Language:Python 1

deep-clustering

yueliu1999 / Awesome-Deep-Graph-Clustering

bdy9527 / SDCN

yueliu1999 / HSAN

yueliu1999 / DCRN

Deepayan137 / DeepClustering

JusperLee / Deep-Clustering-for-Speech-Separation

thuiar / OKD-Reading-List

Marigoldwu / A-Unified-Framework-for-Deep-Attribute-Graph-Clustering

WxTu / DFCN

ZJU-DAILY / E2DTC

Closed11 / Unsupervised-Image-Classification

FabianFalck / mfcvae

ZhihaoPENG-CityU / MM21---AGCN

HHU-MMBS / TEMI-official-BMVC2023

waynezhanghk / gactoolbox

parasdahal / deepclustering

waynezhanghk / gacluster

tntek / N2DCX

liunian-Jay / ICMVC

shashikg / X-Vector-Based-Speaker-Diarization

jsvir / idc

juselara1 / dmae

Mr-SGXXX / Clustering

yisiyu95 / R2FGC

Ghiara / DIVA

goamegah / pytorch-stc

XiplusChenyu / Vocal-Track-Extraction-Deep-Learning

dung321046 / ConstrainedClusteringViaPostProcessing

GraphEoM / GSCAN

aciobanusebi / deep-clustering

DolbyUUU / Deep-Clustering-Economic-Preferences

mieskolainen / hypertrack

tchewik / unsupervised_openie

Zarmina97 / DBC_Ai_industry

AhmetSelimPehlivan / Agri-Land-Detection

hewei98 / CgMCR2