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Clustering

Clustering is the task of grouping unlabeled data point into disjoint subsets. Each data point is labeled with a single class. The number of classes is not known a priori. The grouping criteria is typically based on the similarity of data points to each other.

Papers

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Showing 1051–1075 of 10718 papers

Title	Date	Tasks	Status	Score
A coupled autoencoder approach for multi-modal analysis of cell types	Nov 6, 2019	Clusteringcross-modal alignment	CodeCode Available	5
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography	Mar 10, 2025	ClusteringDeep Clustering	CodeCode Available	5
Deep Unsupervised Clustering Using Mixture of Autoencoders	Dec 21, 2017	Clustering	CodeCode Available	5
A Fast Semidefinite Approach to Solving Binary Quadratic Problems	Apr 3, 2013	ClusteringImage Segmentation	CodeCode Available	5
An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering	Nov 30, 2021	ClusteringConstrained Clustering	CodeCode Available	5
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes	Mar 17, 2022	Clustering	CodeCode Available	5
Deep Manifold Embedding for Hyperspectral Image Classification	Dec 24, 2019	ClassificationClustering	CodeCode Available	5
Deep Markov Spatio-Temporal Factorization	Mar 22, 2020	ClusteringTime Series	CodeCode Available	5
Accelerated High-Quality Mutual-Information Based Word Clustering	May 1, 2020	ClusteringVocal Bursts Intensity Prediction	CodeCode Available	5
Deep Learning with Nonparametric Clustering	Jan 13, 2015	ClusteringDeep Learning	CodeCode Available	5
A New Spectral Clustering Algorithm	Oct 7, 2017	Clustering	CodeCode Available	5
A Fast Palette Reordering Technique Based on GPU-Optimized Genetic Algorithms	Sep 8, 2018	ClusteringGPU	CodeCode Available	5
Deep Lifetime Clustering	Oct 1, 2019	Clustering	CodeCode Available	5
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding	Sep 9, 2020	BenchmarkingClustering	CodeCode Available	5
Deep k-Means: Jointly clustering with k-Means and learning representations	Jun 26, 2018	Clustering	CodeCode Available	5
Leveraging tensor kernels to reduce objective function mismatch in deep clustering	Jan 20, 2020	ClusteringDeep Clustering	CodeCode Available	5
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions	Jul 1, 2018	Clustering	CodeCode Available	5
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation	Jul 14, 2020	ClusteringInstance Segmentation	CodeCode Available	5
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction	Dec 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	5
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions	Jun 24, 2018	Clustering	CodeCode Available	5
A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules	Jun 23, 2023	ClusteringGenerative Adversarial Network	CodeCode Available	5
Deep generative models in DataSHIELD	Mar 11, 2020	Clustering	CodeCode Available	5
A New Notion of Individually Fair Clustering: α-Equitable k-Center	Jun 9, 2021	ClusteringFairness	CodeCode Available	5
Deep Feature Selection using a Teacher-Student Network	Mar 17, 2019	ClusteringDimensionality Reduction	CodeCode Available	5
Deep learning for clustering of multivariate clinical patient trajectories with missing values	Nov 15, 2019	ClusteringMissing Values	CodeCode Available	5

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