Imagen de Portada

Cluster-Adaptive Feature Extraction and its Theoretical Foundation with Minkowski Weighted k-Means

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	de Amorim, Renato Cordeiro, Makarenkov, Vladimir
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving clustering quality evaluation in noisy Gaussian mixtures
por: de Amorim, Renato Cordeiro, et al.
Publicado: (2025)

Shapley-Inspired Feature Weighting in $k$-means with No Additional Hyperparameters
por: Fawley, Richard J., et al.
Publicado: (2025)

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
por: Bakhtyari, Mohammadreza, et al.
Publicado: (2025)

Scalable unsupervised feature selection via weight stability
por: Zhang, Xudong, et al.
Publicado: (2025)

Asymptotic Theory of Geometric and Adaptive $k$-Means Clustering
por: Jaffe, Adam Quinn
Publicado: (2022)

Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering
por: Das, Swagato, et al.
Publicado: (2025)

Assessing the impact of dimensionality reduction on clustering performance -- a systematic study
por: Assani-Amate, Ousmane, et al.
Publicado: (2026)

Hybrid Interval Type-2 Mamdani-TSK Fuzzy System for Regression Analysis
por: Bhatia, Ashish, et al.
Publicado: (2025)

Accelerating k-Means Clustering with Cover Trees
por: Lang, Andreas, et al.
Publicado: (2024)

Graph-based Clustering Revisited: A Relaxation of Kernel $k$-Means Perspective
por: Lyu, Wenlong, et al.
Publicado: (2025)

Quantum Clustering with k-Means: a Hybrid Approach
por: Poggiali, Alessandro, et al.
Publicado: (2022)

Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
por: Spalding-Jamieson, Jack, et al.
Publicado: (2025)

Radius-Guided Post-Clustering for Shape-Aware, Scalable Refinement of k-Means Results
por: Kober, Stefan
Publicado: (2025)

Differentially Private Federated $k$-Means Clustering with Server-Side Data
por: Scott, Jonathan, et al.
Publicado: (2025)

Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization
por: Cheng, Difei, et al.
Publicado: (2022)

Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
por: Schoinas, Thanasis, et al.
Publicado: (2025)

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

BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging
por: Sherkatghanad, Zeinab, et al.
Publicado: (2024)

VertCoHiRF: Decentralized Vertical Clustering Beyond k-means
por: Belucci, Bruno, et al.
Publicado: (2026)

Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting
por: Cetin, Edoardo, et al.
Publicado: (2024)

Local Cluster Cardinality Estimation for Adaptive Mean Shift
por: Pepin, Étienne
Publicado: (2025)

Refining Filter Global Feature Weighting for Fully-Unsupervised Clustering
por: Galis, Fabian, et al.
Publicado: (2025)

Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
por: Hemdanou, Abderrafik Laakel, et al.
Publicado: (2025)

FastLloyd: Federated, Accurate, Secure, and Tunable $k$-Means Clustering with Differential Privacy
por: Diaa, Abdulrahman, et al.
Publicado: (2024)

Feature-to-Image Data Augmentation: Improving Model Feature Extraction with Cluster-Guided Synthetic Samples
por: Haghbin, Yasaman, et al.
Publicado: (2024)

Wavelet-Based Feature Extraction and Unsupervised Clustering for Parity Detection: A Feature Engineering Perspective
por: Mutlu, Ertugrul
Publicado: (2025)

Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering
por: Khalafaoui, Yasser, et al.
Publicado: (2024)

Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
por: Xu, Huangyu, et al.
Publicado: (2026)

Stochastic Mean-Shift Clustering
por: Lapidot, Itshak, et al.
Publicado: (2025)

"FRAME: Forward Recursive Adaptive Model Extraction-A Technique for Advance Feature Selection"
por: Kapure, Nachiket, et al.
Publicado: (2025)

Multi-Swap $k$-Means++
por: Beretta, Lorenzo, et al.
Publicado: (2023)

Fuzzy K-Means Clustering without Cluster Centroids
por: Bao, Yichen, et al.
Publicado: (2024)

Multi-order Graph Clustering with Adaptive Node-level Weight Learning
por: Liu, Ye, et al.
Publicado: (2024)

Cross-Cluster Weighted Forests
por: Ramchandran, Maya, et al.
Publicado: (2021)

Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
por: Feser, Fabio, et al.
Publicado: (2024)

Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier
por: Rodrigues, Érick Oliveira
Publicado: (2021)

Silhouette-Driven Instance-Weighted $k$-means
por: Semoglou, Aggelos, et al.
Publicado: (2025)

Distributionally Robust K-Means Clustering
por: Malik, Vikrant, et al.
Publicado: (2026)

Causal K-Means Clustering
por: Kim, Kwangho, et al.
Publicado: (2024)

An Observation on Lloyd's k-Means Algorithm in High Dimensions
por: Silva-Sánchez, David, et al.
Publicado: (2025)