Image de couverture de livre

Identifying bias in cluster quality metrics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Renedo-Mirambell, Martí, Arratia, Argimiro
Format:	Preprint
Publié:	2021
Sujets:	Physics and Society Machine Learning Social and Information Networks I.5.3; I.5.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
par: Alvarez, Sergio A.
Publié: (2021)

Plug In and Learn: Federated Intelligence over a Smart Grid of Models
par: Abdurakhmanova, S., et autres
Publié: (2023)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
par: Alagoz, Celal
Publié: (2024)

Regularisation in neural networks: a survey and empirical analysis of approaches
par: Opperman, Christiaan P., et autres
Publié: (2026)

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
par: Poorna, Rajas, et autres
Publié: (2026)

Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation
par: Fossgaard, Eirik
Publié: (1999)

EBIC: an open source software for high-dimensional and big data biclustering analyses
par: Orzechowski, Patryk, et autres
Publié: (2018)

Domain Specific Data Distillation and Multi-modal Embedding Generation
par: Peddiraju, Sharadind, et autres
Publié: (2024)

ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings
par: Abbas, Mostafa M., et autres
Publié: (2021)

FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
par: Behzad, Tina, et autres
Publié: (2025)

Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
par: Soto-Gomez, Mauricio, et autres
Publié: (2021)

Utilizing Dynamic Time Warping for Pandemic Surveillance: Understanding the Relationship between Google Trends Network Metrics and COVID-19 Incidences
par: Lopez II, Michael T., et autres
Publié: (2025)

Persistent Multiscale Density-based Clustering
par: Bot, Daniël, et autres
Publié: (2025)

Discriminative Subspace Emersion from learning feature relevances across different populations
par: Canducci, Marco, et autres
Publié: (2025)

Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
par: Peng, Dehua, et autres
Publié: (2024)

Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering
par: Xian, Zeqiang, et autres
Publié: (2026)

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection
par: Gopalakrishnan, Venkatakrishnan
Publié: (2026)

Analysis of Total Variation Minimization for Clustered Federated Learning
par: Jung, A.
Publié: (2024)

Almost Linear Time Consistent Mode Estimation and Quick Shift Clustering
par: Hashemian, Sajjad
Publié: (2025)

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering
par: Xian, Zeqiang, et autres
Publié: (2026)

Adaptive Riemannian Graph Neural Networks
par: Wang, Xudong, et autres
Publié: (2025)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
par: Wang, Xudong, et autres
Publié: (2025)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
par: Chien, Sheng-You, et autres
Publié: (2026)

Social Story Frames: Contextual Reasoning about Narrative Intent and Reception
par: Mire, Joel, et autres
Publié: (2025)

PRISM: LLM-Guided Semantic Clustering for High-Precision Topics
par: Douglas, Connor, et autres
Publié: (2026)

Hyperoctant Search Clustering: A Method for Clustering Data in High-Dimensional Hyperspheres
par: Toledo-Acosta, Mauricio, et autres
Publié: (2025)

Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
par: Keçeci, Ertuğrul, et autres
Publié: (2025)

Conversational Forecasting Across Large Human Groups Using A Swarm of Surrogate AI Agents
par: Rosenberg, Louis, et autres
Publié: (2026)

Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making
par: Rosenberg, Louis, et autres
Publié: (2024)

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
par: Perazzolo, Diego, et autres
Publié: (2025)

Widening the Role of Group Recommender Systems with CAJO
par: Ricci, Francesco, et autres
Publié: (2025)

Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
par: Perazzolo, Diego, et autres
Publié: (2025)

Local Cluster Cardinality Estimation for Adaptive Mean Shift
par: Pepin, Étienne
Publié: (2025)

Machine learning for moduli space of genus two curves and an application to isogeny based cryptography
par: Shaska, Elira, et autres
Publié: (2024)

IMUVIE: Pickup Timeline Action Localization via Motion Movies
par: Clapham, John, et autres
Publié: (2024)

A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers
par: Aluvihare, Hansaka, et autres
Publié: (2025)

FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
par: Chakraborty, Sujan, et autres
Publié: (2025)

From Linear to Spline-Based Classification:Developing and Enhancing SMPA for Noisy Non-Linear Datasets
par: Srivastava, Vatsal
Publié: (2025)

A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion
par: Peng, Dehua, et autres
Publié: (2023)

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
par: Nishiyama, Daiki, et autres
Publié: (2022)