Deep Clustering
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Benchmarks
Most implemented
Deep Clustering for Unsupervised Learning of Visual Features
Deep clustering: Discriminative embeddings for segmentation and separation
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks
Deep Temporal Graph Clustering
Twin Contrastive Learning for Online Clustering
Papers
Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data
Data imbalance poses a major challenge in supervised classification, where the majority-class bias contributes to false negatives and overestimates classification accuracy. Unsupervised deep clustering can be immune to c…
Representation LearningDeep ClusteringFMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series
In many realistic scenarios, large volumes of time series data are generated with limited or expensive annotations. This limitation makes supervised learning methods difficult to apply and leads to the use of unsupervise…
Self-Supervised LearningDeep ClusteringExpert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts
Survival prediction plays a central role for healthcare providers and clinical researchers. Accurate risk stratification enables early intervention and improved patient management. Most existing deep survival models lear…
Deep ClusteringUniFair: A unified fair clustering approach based on separation and compactness
Clustering is increasingly used to support high-impact decisions, yet standard objectives such as k-means can produce clusterings that treat demographic groups unequally. Existing fair clustering methods typically optimi…
Deep ClusteringCLUBench: A Clustering Benchmark
Clustering is a fundamental problem in data science with a long-standing research history, yielding numerous insightful algorithms. Despite this progress, a systematic and large-scale empirical evaluation that jointly co…
Text ClusteringDeep ClusteringInformation theoretic underpinning of self-supervised learning by clustering
Self-supervised learning (SSL) is recognized as an essential tool for building foundation models for Artificial Intelligence applications. The advances in SSL have been made thanks to vigorous arguments about the princip…
Self-Supervised LearningDeep Clustering