Tag: high-dimensional data

Researchers present a practical tutorial demonstrating how self-organising maps reveal continuous psychological profiles using illustrative depressive symptom data.

A rigorous benchmark reveals that precision matrix estimation methods for transcriptomic co-expression networks vary significantly based on data structure, sample ...

A combined local search and genetic algorithm improved cancer classification accuracy and reduced computational complexity across more than 30,000 patient ...

Researchers have introduced SDMFS, a unified framework combining self-distillation and adaptive label graph learning that reportedly outperforms existing multi-label feature ...

Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...

Researchers adapted a swarm intelligence algorithm modeled on great white shark hunting behavior to select the most informative genes from ...

Researchers have developed ProD, a visualizable filter feature selection method that ranks variables by measuring the geometric overlap between class ...

Two Georgia State University doctoral students, Ahanab Hafiz Anab and Haobo Cui, are among only four recipients of the 2026 ...

Registration has opened for the SIAM Conference on Mathematics of Data Science, MDS26, which will convene researchers from academia, industry, ...

Chinese researchers have combined dynamic attribute clustering, TOPSIS and Borda count voting to turn high-dimensional tourist review data into reliable ...