CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
-
Updated
Jul 26, 2021 - MATLAB
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)]
a GUI-based Interactive Multi-dimensional extensiBLe Visualization toolbox for Matlab
High-Dimensional Similarity Learning
[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.
An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB
MWPCR-with-Matlab
Add a description, image, and links to the high-dimensional-data topic page so that developers can more easily learn about it.
To associate your repository with the high-dimensional-data topic, visit your repo's landing page and select "manage topics."