Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

Code for "Adaptive-Weighting Discriminative Regression for Multi-View Classification" in Pattern Recognition

Code: TPAMI2020-Truncated Robust Principle Component Analysis with A General Optimization Framework"

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

(TPAMI) 2022 paper "Coordinate Descent Method for k-means" is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

NeurIPS 2020: Learning Feature Sparse Principal Subspace

Fast Spectral Clustering based on RandomWalk Laplacian (FRWL) for Large Scale Clustering- ICASSP 2020

The code of the paper "Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection"