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Clustering with Deep Learning: Taxonomy and New Methods
v1v2 (latest)

Clustering with Deep Learning: Taxonomy and New Methods

23 January 2018
Elie Aljalbout
Vladimir Golkov
Yawar Siddiqui
Maximilian Strobel
Zorah Lähner
ArXiv (abs)PDFHTML

Papers citing "Clustering with Deep Learning: Taxonomy and New Methods"

50 / 78 papers shown
Mixed Data Clustering Survey and Challenges
Mixed Data Clustering Survey and ChallengesSN Computer Science (SN Comput. Sci.), 2025
Guillaume Guerard
Sonia Djebali
36
0
0
27 Nov 2025
A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
Miha Ožbot
Igor Škrjanc
Vitomir Štruc
AI4TSAIFin
97
0
0
01 Oct 2025
Subjective Behaviors and Preferences in LLM: Language of Browsing
Subjective Behaviors and Preferences in LLM: Language of Browsing
Sai Sundaresan
Harshita Chopra
Atanu R. Sinha
Koustava Goswami
Nagasai Saketh Naidu
Raghav Karan
N Anushka
241
0
0
21 Aug 2025
Consistency Based Weakly Self-Supervised Learning for Human Activity
  Recognition with Wearables
Consistency Based Weakly Self-Supervised Learning for Human Activity Recognition with Wearables
Taoran Sheng
Manfred Huber
SSL
186
3
0
29 Jul 2024
Delivery Optimized Discovery in Behavioral User Segmentation under
  Budget Constraint
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
Harshita Chopra
Atanu R. Sinha
Sunav Choudhary
Ryan Rossi
Paavan Kumar Indela
Veda Pranav Parwatala
Srinjayee Paul
Aurghya Maiti
140
1
0
04 Feb 2024
Deep Clustering Using the Soft Silhouette Score: Towards Compact and
  Well-Separated Clusters
Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters
Georgios Vardakas
Ioannis Papakostas
A. Likas
307
21
0
01 Feb 2024
Datacube segmentation via Deep Spectral Clustering
Datacube segmentation via Deep Spectral Clustering
A. Bombini
Fernando García-Avello Bofías
Caterina Bracci
Michele Ginolfi
Chiara Ruberto
359
1
0
31 Jan 2024
A Rapid Review of Clustering Algorithms
A Rapid Review of Clustering Algorithms
Hui Yin
Amir Aryani
Stephen Petrie
Aishwarya Nambissan
Aland Astudillo
Shengyuan Cao
154
29
0
14 Jan 2024
Unsupervised Learning via Network-Aware Embeddings
Unsupervised Learning via Network-Aware Embeddings
Anne Sophie Riis Damstrup
Sofie Tosti Madsen
Michele Coscia
SSL
209
1
0
19 Sep 2023
Unsupervised Embedding Learning for Human Activity Recognition Using
  Wearable Sensor Data
Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor DataThe Florida AI Research Society (FLAIRS), 2023
Taoran Sheng
Manfred Huber
SSL
111
14
0
21 Jul 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on GraphsKnowledge Discovery and Data Mining (KDD), 2023
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSLOOD
255
8
0
12 Jun 2023
DMS: Differentiable Mean Shift for Dataset Agnostic Task Specific
  Clustering Using Side Information
DMS: Differentiable Mean Shift for Dataset Agnostic Task Specific Clustering Using Side Information
Michael A. Hobley
V. Prisacariu
OOD
122
1
0
29 May 2023
Label-Efficient Learning in Agriculture: A Comprehensive Review
Label-Efficient Learning in Agriculture: A Comprehensive ReviewComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2023
Jiajia Li
Dong Chen
Xinda Qi
Zhao Li
Yanbo Huang
Daniel Morris
Xiaobo Tan
225
54
0
24 May 2023
High-dimensional Clustering onto Hamiltonian Cycle
High-dimensional Clustering onto Hamiltonian CycleInternational Conference on Machine Learning (ICML), 2023
Tianyi Huang
Sheng-Hsien Cheng
Stan Z. Li
Zhengjun Zhang
140
9
0
27 Apr 2023
The Deep Latent Position Topic Model for Clustering and Representation
  of Networks with Textual Edges
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual EdgesScandinavian Journal of Statistics (Scand. J. Stat.), 2023
Rémi Boutin
Pierre Latouche
C. Bouveyron
162
2
0
14 Apr 2023
Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding
Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker EmbeddingIEEE Signal Processing Letters (IEEE SPL), 2023
Haiquan Mao
Fenglu Hong
Man-Wai Mak
182
10
0
28 Mar 2023
A Self-Supervised Learning-based Approach to Clustering Multivariate
  Time-Series Data with Missing Values (SLAC-Time): An Application to TBI
  Phenotyping
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI PhenotypingJournal of Biomedical Informatics (JBI), 2023
Hamid Ghaderi
Brandon Foreman
Amin Nayebi
Sindhu Tipirneni
Chandan K. Reddy
V. Subbian
AI4TS
211
17
0
27 Feb 2023
Clustering with Neural Network and Index
Clustering with Neural Network and Index
Gang Liu
309
4
0
05 Dec 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and
  Open Resource
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
Yue Liu
Jun Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
OOD
296
38
0
23 Nov 2022
Deep Clustering With Consensus Representations
Deep Clustering With Consensus RepresentationsIndustrial Conference on Data Mining (IDM), 2022
Lukas Miklautz
Martin Teuffenbach
Pascal Weber
Rona Perjuci
Walid Durani
Christian Böhm
Claudia Plant
122
7
0
13 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
290
190
0
09 Oct 2022
Review of Clustering Methods for Functional Data
Review of Clustering Methods for Functional DataACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Mimi Zhang
Andrew C. Parnell
158
41
0
03 Oct 2022
Autoencoder Based Iterative Modeling and Multivariate Time-Series
  Subsequence Clustering Algorithm
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering AlgorithmIEEE Access (IEEE Access), 2022
Jonas Köhne
Lars Henning
C. Gühmann
157
3
0
09 Sep 2022
Learning to Structure an Image with Few Colors and Beyond
Learning to Structure an Image with Few Colors and Beyond
Yunzhong Hou
Liang Zheng
Stephen Gould
MQ
146
1
0
17 Aug 2022
A Deep Dive into Deep Cluster
A Deep Dive into Deep ClusterSocial Science Research Network (SSRN), 2022
Ahmad Mustapha
Wael Khreich
Wasim Masr
SSLVLM
193
3
0
24 Jul 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and
  Future Directions
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future DirectionsACM Computing Surveys (ACM CSUR), 2022
Sheng Zhou
Hongjia Xu
Zhuonan Zheng
Jiawei Chen
Zhao Li
Jiajun Bu
Jia Wu
Xin Eric Wang
Wenwu Zhu
Martin Ester
244
157
0
15 Jun 2022
Transient motion classification through turbid volumes via parallelized
  single-photon detection and deep contrastive embedding
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embeddingFrontiers in Neuroscience (Front. Neurosci.), 2022
Shiqi Xu
Wenhui Liu
Xi Yang
J. Jonsson
Ruobing Qian
...
Lucas Kreiss
Haoqian Wang
E. Berrocal
S. Huettel
R. Horstmeyer
144
8
0
04 Apr 2022
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai
Zijia Zhang
Wenshu Fan
Pedram Ghamisi
Kunping Li
Xiaobo Liu
Z. Cai
112
17
0
15 Nov 2021
Visualizing the embedding space to explain the effect of knowledge
  distillation
Visualizing the embedding space to explain the effect of knowledge distillationAsian Conference on Pattern Recognition (ACPR), 2021
Hyun Seung Lee
C. Wallraven
148
1
0
09 Oct 2021
A multi-stage semi-supervised improved deep embedded clustering method
  for bearing fault diagnosis under the situation of insufficient labeled
  samples
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples
Tong Sun
Gang Yu
91
1
0
28 Sep 2021
Representation Learning for Short Text Clustering
Representation Learning for Short Text Clustering
Hui Yin
Xiangyu Song
Shuiqiao Yang
Guangyan Huang
Jianxin Li
SSLDRL
231
14
0
21 Sep 2021
Thinkback: Task-SpecificOut-of-Distribution Detection
Thinkback: Task-SpecificOut-of-Distribution Detection
Lixuan Yang
Dario Rossi
OODD
82
1
0
13 Jul 2021
Multi-Facet Clustering Variational Autoencoders
Multi-Facet Clustering Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2021
Fabian Falck
Haoting Zhang
M. Willetts
G. Nicholson
C. Yau
Chris Holmes
DRL
289
49
0
09 Jun 2021
Deep Learning and Traffic Classification: Lessons learned from a
  commercial-grade dataset with hundreds of encrypted and zero-day applications
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applicationsIEEE Transactions on Network and Service Management (TNSM), 2021
Lixuan Yang
A. Finamore
Feng Jun
Dario Rossi
172
58
0
07 Apr 2021
Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text
  Area in Logo
Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo
Shintaro Nishi
T. Kadota
S. Uchida
205
1
0
01 Apr 2021
Centroid Transformers: Learning to Abstract with Attention
Centroid Transformers: Learning to Abstract with Attention
Lemeng Wu
Xingchao Liu
Qiang Liu
3DPC
240
34
0
17 Feb 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained ClusteringData mining and knowledge discovery (DMKD), 2021
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
161
36
0
07 Jan 2021
From Learning to Relearning: A Framework for Diminishing Bias in Social
  Robot Navigation
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot NavigationFrontiers in Robotics and AI (Front. Robot. AI), 2021
Juana Valeria Hurtado
Laura Londoño
Abhinav Valada
183
36
0
07 Jan 2021
GMM-Based Generative Adversarial Encoder Learning
GMM-Based Generative Adversarial Encoder Learning
Yuri Feigin
H. Spitzer
Raja Giryes
GANAI4CE
120
4
0
08 Dec 2020
Unsupervised Embedding of Hierarchical Structure in Euclidean Space
Unsupervised Embedding of Hierarchical Structure in Euclidean Space
Jinyu Zhao
Yi Hao
Cyrus Rashtchian
DRL
135
3
0
30 Oct 2020
Deep Clustering of Text Representations for Supervision-free Probing of
  Syntax
Deep Clustering of Text Representations for Supervision-free Probing of SyntaxAAAI Conference on Artificial Intelligence (AAAI), 2020
Vikram Gupta
Haoyue Shi
Kevin Gimpel
Mrinmaya Sachan
304
9
0
24 Oct 2020
Multi-level Feature Learning on Embedding Layer of Convolutional
  Autoencoders and Deep Inverse Feature Learning for Image Clustering
Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering
B. Ghazanfari
Fatemeh Afghah
147
3
0
05 Oct 2020
From Time Series to Euclidean Spaces: On Spatial Transformations for
  Temporal Clustering
From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering
Nuno Mota Goncalves
I. Giurgiu
Anika Schumann
AI4TS
86
0
0
02 Oct 2020
Deep Transparent Prediction through Latent Representation Analysis
Deep Transparent Prediction through Latent Representation Analysis
D. Kollias
N. Bouas
Y. Vlaxos
V. Brillakis
M. Seferis
I. Kollia
L. Sukissian
J. Wingate
Stefanos D. Kollias
198
94
0
13 Sep 2020
SA-Net: A deep spectral analysis network for image clustering
SA-Net: A deep spectral analysis network for image clusteringNeurocomputing (Neurocomputing), 2020
Jinghua Wang
Jianmin Jiang
178
14
0
11 Sep 2020
Unsupervised seismic facies classification using deep convolutional
  autoencoder
Unsupervised seismic facies classification using deep convolutional autoencoder
V. Puzyrev
C. Elders
CVBM
128
25
0
05 Aug 2020
Meta-learning with Latent Space Clustering in Generative Adversarial
  Network for Speaker Diarization
Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker DiarizationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Monisankha Pal
Manoj Kumar
Raghuveer Peri
Tae Jin Park
So Hyun Kim
C. Lord
Somer Bishop
Shrikanth Narayanan
208
22
0
19 Jul 2020
Deep Learning for Anomaly Detection: A Review
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
281
1,155
0
06 Jul 2020
Exploiting Contextual Information with Deep Neural Networks
Exploiting Contextual Information with Deep Neural Networks
Ismail Elezi
180
3
0
21 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering
Dissimilarity Mixture Autoencoder for Deep Clustering
Juan S. Lara
Fabio A. González
215
6
0
15 Jun 2020
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