Cover Image

A Survey on Archetypal Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alcacer, Aleix, Epifanio, Irene, Mair, Sebastian, Mørup, Morten
Format:	Preprint
Published:	2025
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Archetypal cases for questionnaires with nominal multiple choice questions
by: Alcacer, Aleix, et al.
Published: (2026)

Incorporating Fairness Constraints into Archetypal Analysis
by: Alcacer, Aleix, et al.
Published: (2025)

Biarchetype analysis: simultaneous learning of observations and features based on extremes
by: Alcacer, Aleix, et al.
Published: (2023)

Representing asymmetric relationships by h-plots. Discovering the archetypal patterns of cross-journal citation relationships
by: Alcacer, Aleix, et al.
Published: (2026)

Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
by: Alcacer, Aleix, et al.
Published: (2025)

Archetypal Analysis for Binary Data
by: Wedenborg, A. Emilie J., et al.
Published: (2025)

Archetypal Analysis++: Rethinking the Initialization Strategy
by: Mair, Sebastian, et al.
Published: (2023)

Modeling Human Responses by Ordinal Archetypal Analysis
by: Wedenborg, Anna Emilie J., et al.
Published: (2024)

Causal Inference with Complex Treatments: A Survey
by: Wang, Yingrong, et al.
Published: (2024)

Causal Machine Learning: A Survey and Open Problems
by: Kaddour, Jean, et al.
Published: (2022)

Survey on Algorithms for multi-index models
by: Bruna, Joan, et al.
Published: (2025)

Adjustment Identification Distance: A gadjid for Causal Structure Learning
by: Henckel, Leonard, et al.
Published: (2024)

Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
by: Mao, Xiaojun, et al.
Published: (2024)

Progression: an extrapolation principle for regression
by: Buriticá, Gloria, et al.
Published: (2024)

Distributional Random Forests for Complex Survey Designs on Reproducing Kernel Hilbert Spaces
by: Zou, Yating, et al.
Published: (2025)

PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of Prediction-Powered Inference
by: Mozer, Reagan
Published: (2026)

Improved Inference for CSDID Using the Cluster Jackknife
by: Karim, Sunny R., et al.
Published: (2026)

Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
by: Schenk, Patrick Oliver, et al.
Published: (2024)

Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs
by: Matabuena, Marcos, et al.
Published: (2024)

Joint Registration and Conformal Prediction for Partially Observed Functional Data
by: Wang, Fangyi, et al.
Published: (2025)

Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)

Topic Analysis with Side Information: A Neural-Augmented LDA Approach
by: Fang, Biyi, et al.
Published: (2025)

Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
by: Thams, Nikolaj, et al.
Published: (2022)

Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference
by: Sebastián, Carlos, et al.
Published: (2024)

Enhancing Airline Customer Satisfaction: A Machine Learning and Causal Analysis Approach
by: Mirthipati, Tejas
Published: (2024)

A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
by: Urban, Christopher J., et al.
Published: (2020)

Meta-Analysis with Untrusted Data
by: Kaul, Shiva, et al.
Published: (2024)

Forecasting Binary Economic Events in Modern Mercantilism: Traditional methodologies coupled with PCA and K-means Quantitative Analysis of Qualitative Sentimental Data
by: Kot, Sebastian
Published: (2025)

HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
by: Liu, Xin, et al.
Published: (2024)

Evaluation of ChatGPT-Generated Medical Responses: A Systematic Review and Meta-Analysis
by: Wei, Qiuhong, et al.
Published: (2023)

Sequential Transport for Causal Mediation Analysis
by: Machado, Agathe Fernandes, et al.
Published: (2026)

Power Analysis for Prediction-Powered Inference
by: Chen, Yiqun T., et al.
Published: (2026)

Interpretable Machine Learning for Survival Analysis
by: Langbein, Sophie Hanna, et al.
Published: (2024)

Joint Linked Component Analysis for Multiview Data
by: Xiao, Lin, et al.
Published: (2024)

Learning Causal Structure of Time Series using Best Order Score Search
by: Mansilla, Irene Gema Castillo, et al.
Published: (2026)

Horseshoe Forests for High-Dimensional Causal Survival Analysis
by: Jacobs, Tijn, et al.
Published: (2025)

Root Cause Analysis of Outliers in Unknown Cyclic Graphs
by: Schkoda, Daniela, et al.
Published: (2025)

Casewise and Cellwise Robust Multilinear Principal Component Analysis
by: Hirari, Mehdi, et al.
Published: (2025)

On the Wasserstein Geodesic Principal Component Analysis of probability measures
by: Vesseron, Nina, et al.
Published: (2025)

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
by: Chen, Elynn, et al.
Published: (2024)