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 2376–2400 of 10718 papers

Title	Date	Tasks	Status	Score
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification	Dec 12, 2017	ClusteringEnsemble Learning	CodeCode Available	5
Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System	Jun 18, 2024	ClusteringCommunity Detection	CodeCode Available	5
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering	Sep 21, 2022	Active LearningClustering	CodeCode Available	5
Customer Segmentation	Feb 15, 2018	BIG-bench Machine LearningClustering	CodeCode Available	5
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data	Dec 30, 2019	BIG-bench Machine LearningClustering	CodeCode Available	5
Clustering Change Sign Detection by Fusing Mixture Complexity	Mar 27, 2024	Clustering	CodeCode Available	5
A sampling-based approach for efficient clustering in large datasets	Dec 29, 2021	Clustering	CodeCode Available	5
CUP: Cluster Pruning for Compressing Deep Neural Networks	Nov 19, 2019	ClusteringReinforcement Learning	CodeCode Available	5
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning	Nov 6, 2024	Clustering	CodeCode Available	5
Data-Driven Tree Transforms and Metrics	Aug 18, 2017	Clustering	CodeCode Available	5
Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering	May 26, 2024	Clustering	CodeCode Available	5
Decipherment of Historical Manuscript Images	Oct 9, 2018	ClusteringDecipherment	CodeCode Available	5
Simple and Scalable Sparse k-means Clustering via Feature Ranking	Feb 20, 2020	Clustering	CodeCode Available	5
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models	Apr 8, 2020	BIG-bench Machine LearningClustering	CodeCode Available	5
Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support	Sep 30, 2015	ClusteringComputational Efficiency	CodeCode Available	5
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning	Jan 28, 2020	ClusteringRepresentation Learning	CodeCode Available	5
Crowd Counting on Images with Scale Variation and Isolated Clusters	Sep 9, 2019	ClusteringCrowd Counting	CodeCode Available	5
Faster K-Means Cluster Estimation	Jan 17, 2017	Clustering	CodeCode Available	5
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs	Jun 5, 2024	ClusteringNatural Language Inference	CodeCode Available	5
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization	Feb 26, 2022	ClusteringMatrix Completion	CodeCode Available	5
Cluster-Specific Predictions with Multi-Task Gaussian Processes	Nov 16, 2020	ClusteringGaussian Processes	CodeCode Available	5
Fast High-Dimensional Bilateral and Nonlocal Means Filtering	Nov 6, 2018	ClusteringQuantization	CodeCode Available	5
Clustering Categorical Data: Soft Rounding k-modes	Oct 18, 2022	Clustering	CodeCode Available	5
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification	Aug 27, 2017	ClusteringMetric Learning	CodeCode Available	5
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering	May 20, 2025	ClusteringClustering Algorithms Evaluation	CodeCode Available	5

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