Imagen de Portada

Kernel K-means clustering of distributional data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Baíllo, Amparo, Berrendero, Jose R., Sánchez-Signorini, Martín
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computation
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Accelerating spherical K-means clustering for large-scale sparse document data
por: Aoyama, Kazuo, et al.
Publicado: (2024)

Adaptively Robust and Sparse K-means Clustering
por: Li, Hao, et al.
Publicado: (2024)

FT K-means: A High-Performance K-means on GPU with Fault Tolerance
por: Wu, Shixun, et al.
Publicado: (2024)

A solution for the mean parametrization of the von Mises-Fisher distribution
por: Nonnenmacher, Marcel, et al.
Publicado: (2024)

Federated K-means Clustering
por: Garst, Swier, et al.
Publicado: (2023)

Text clustering applied to data augmentation in legal contexts
por: Freitas, Lucas José Gonçalves, et al.
Publicado: (2024)

Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering
por: Luan, Qinmeng, et al.
Publicado: (2023)

A novel k-means clustering approach using two distance measures for Gaussian data
por: Gada, Naitik
Publicado: (2025)

Communication-Avoiding Linear Algebraic Kernel K-Means on GPUs
por: Bellavita, Julian, et al.
Publicado: (2026)

Rectified Gaussian kernel multi-view k-means clustering
por: Sinaga, Kristina P.
Publicado: (2024)

Linear time small coresets for k-mean clustering of segments with applications
por: Denisov, David, et al.
Publicado: (2025)

A Computational Approach to Improving Fairness in K-means Clustering
por: Zhou, Guancheng, et al.
Publicado: (2025)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
por: Mostowsky, Peter, et al.
Publicado: (2024)

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
por: Du, He, et al.
Publicado: (2026)

Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flows
por: Duma, Zina-Sabrina, et al.
Publicado: (2024)

Introducing Feature-Based Trajectory Clustering, a clustering algorithm for longitudinal data
por: Sylvestre, Marie-Pierre, et al.
Publicado: (2026)

Discriminative Entropy Clustering and its Relation to K-means and SVM
por: Zhang, Zhongwen, et al.
Publicado: (2023)

Controlling Moments with Kernel Stein Discrepancies
por: Kanagawa, Heishiro, et al.
Publicado: (2022)

Kernelized Concept Erasure
por: Ravfogel, Shauli, et al.
Publicado: (2022)

Bootstrap tests for almost goodness-of-fit
por: Baíllo, Amparo, et al.
Publicado: (2024)

Categorical data clustering: 25 years beyond K-modes
por: Dinh, Tai, et al.
Publicado: (2024)

On time series clustering with k-means
por: Holder, Christopher, et al.
Publicado: (2024)

Improved Random Features for Dot Product Kernels
por: Wacker, Jonas, et al.
Publicado: (2022)

Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm
por: Wei, Qianru, et al.
Publicado: (2026)

An Approach Towards Learning K-means-friendly Deep Latent Representation
por: Roy, Debapriya
Publicado: (2024)

Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
por: Chen, Yixi, et al.
Publicado: (2025)

Advanced spectral clustering for heterogeneous data in credit risk monitoring systems
por: Han, Lu, et al.
Publicado: (2025)

Inference with K-means
por: Adzika, Alfred K., et al.
Publicado: (2024)

Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)
por: Qiu, Jiaxing, et al.
Publicado: (2024)

A Scalable Algorithm for Individually Fair K-means Clustering
por: Bateni, MohammadHossein, et al.
Publicado: (2024)

BKP: An R Package for Beta Kernel Process Modeling
por: Zhao, Jiangyan, et al.
Publicado: (2025)

Sampling in Unit Time with Kernel Fisher-Rao Flow
por: Maurais, Aimee, et al.
Publicado: (2024)

Permutation-preserving Functions and Neural Vecchia Covariance Kernels
por: Cao, Jian, et al.
Publicado: (2026)

Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
por: Barwey, Shivam, et al.
Publicado: (2023)

Dimension-Independent Kernel ε-Covers
por: Phillips, Jeff M., et al.
Publicado: (2023)

FastKernels: Benchmarking GPU Kernel Generation in Production
por: Oliaro, Gabriele, et al.
Publicado: (2026)

Revealing the empirical flexibility of gas units through deep clustering
por: Bassini, Chiara Fusar, et al.
Publicado: (2025)

Kernel Thinning
por: Dwivedi, Raaz, et al.
Publicado: (2021)

How to optimize K-means?
por: Li, Qi
Publicado: (2025)

Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering
por: Su, Rina, et al.
Publicado: (2024)