:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Costa, Efthymios, Papatsouma, Ioanna, Markos, Angelos
Format:	Preprint
Published:	2024
Subjects:	Methodology Machine Learning 62H30
Online Access:	https://arxiv.org/abs/2407.03389
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse clustering via the Deterministic Information Bottleneck algorithm
by: Costa, Efthymios, et al.
Published: (2026)

A novel framework for quantifying nominal outlyingness
by: Costa, Efthymios, et al.
Published: (2024)

Statistical Jump Model for Mixed-Type Data with Missing Data Imputation
by: Cortese, Federico P., et al.
Published: (2024)

Linear Discriminant Analysis with High-dimensional Mixed Variables
by: Jiang, Binyan, et al.
Published: (2021)

Factor Adjusted Spectral Clustering for Mixture Models
by: Tang, Shange, et al.
Published: (2024)

Perfect Clustering for Sparse Directed Stochastic Block Models
by: Aalipur, Behzad, et al.
Published: (2026)

Spectral embedding and the latent geometry of multipartite networks
by: Modell, Alexander, et al.
Published: (2022)

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
by: Modell, Alexander, et al.
Published: (2023)

RFX: High-Performance Random Forests with GPU Acceleration and QLORA Compression
by: Kuchar, Chris
Published: (2025)

Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
by: De Magistris, Anna, 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)

Robust spectral clustering with rank statistics
by: Cape, Joshua, et al.
Published: (2024)

Spatio-Temporal Jump Model for Urban Thermal Comfort Monitoring
by: Cortese, Federico P., et al.
Published: (2024)

Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R
by: Prass, Taiane Schaedler, et al.
Published: (2025)

Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)

Unsupervised Variable Selection for Ultrahigh-Dimensional Clustering Analysis
by: Zhang, Tonglin, et al.
Published: (2024)

Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
by: Pinto, Pedro Henrique Ramos, et al.
Published: (2026)

Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
by: Gwee, Xian Yao, et al.
Published: (2023)

A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
by: Kareem, Kazeem, et al.
Published: (2025)

Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
by: Gevorgyan, Hayk, et al.
Published: (2026)

Optimal Transport-Based Clustering of Attributed Graphs with an Application to Road Traffic Data
by: Gavra, Ioana, et al.
Published: (2025)

Bayesian Cluster Weighted Gaussian Models
by: Papastamoulis, Panagiotis, et al.
Published: (2024)

High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
by: Göbler, Konstantin, et al.
Published: (2022)

Extending Cluster-Weighted Factor Analyzers for multivariate prediction and high-dimensional interpretability
by: Qin, Xiaoke, et al.
Published: (2024)

Clustering Multivariate Time Series using Energy Distance
by: Davis, Richard A., et al.
Published: (2023)

A Hybrid Mixture of $t$-Factor Analyzers for Clustering High-dimensional Data
by: Kareem, Kazeem, et al.
Published: (2025)

Scale Invariant Correspondence Analysis
by: Choulakian, Vartan
Published: (2023)

Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts
by: Nguyen, TrungTin, et al.
Published: (2020)

Ranking of Multi-Response Experiment Treatments
by: Pebes-Trujillo, Miguel R., et al.
Published: (2024)

On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)

From Global to Local Correlation: Geometric Decomposition of Statistical Inference
by: Gajer, Pawel, et al.
Published: (2025)

On uniqueness of the set of k-means
by: Cárcamo, Javier, et al.
Published: (2024)

Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
by: Hyun, Sangwon, et al.
Published: (2025)

Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
by: Ohl, Louis, et al.
Published: (2023)

Information criteria for the number of directions of extremes in high-dimensional data
by: Butsch, Lucas, et al.
Published: (2024)

Uniform error bound for PCA matrix denoising
by: Tong, Xin T., et al.
Published: (2023)

$K$-means clustering for sparsely observed longitudinal data
by: Yamamoto, Michio, et al.
Published: (2024)

Partition-Based Functional Ridge Regression for High-Dimensional Data
by: Ashraf, Shaista, et al.
Published: (2026)

A Tutorial on Discriminative Clustering and Mutual Information
by: Ohl, Louis, et al.
Published: (2025)

A comparison between initialization strategies for the infinite hidden Markov model
by: Cortese, Federico P., et al.
Published: (2025)