CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)

Feature Selection by Optimized LASSO algorithm

MATLAB code for Unsupervised Feature Selection with Multi-Subspace Randomization and Collaboration (SRCFS) (KBS 2019)

An advanced version of K-Means using Particle swarm optimization for clustering of high dimensional data sets, which converges faster to the optimal solution.

Code for “MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection“--[IEEE Transactions on Knowledge and Data Engineering (TKDE 24)]

[IEEE TSP 2024] "OPIT: A Simple but Effective Sparse Subspace Tracking". In IEEE Transactions on Signal Process. 2024

Code for the paper E. Raninen, D. E. Tyler and E. Ollila, "Linear pooling of sample covariance matrices," in IEEE Transactions on Signal Processing, Vol 70, pp. 659-672, 2022, doi: 10.1109/TSP.2021.3139207.

a GUI-based Interactive Multi-dimensional extensiBLe Visualization toolbox for Matlab

High-Dimensional Similarity Learning

An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB

A hybrid Artificial Immune optimization for high-dimensional feature selection

High-throughput, cycle-level neural signal analytics validated on clinical-scale iEEG data for biomarker discovery in human cognition.

MWPCR-with-Matlab