Weizhong Yu

Orcid: 0000-0003-2906-8191

According to our database1, Weizhong Yu authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fast Clustering With Anchor Guidance.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Multiview Fuzzy Clustering Based on Anchor Graph.
IEEE Trans. Fuzzy Syst., March, 2024

Robust autoencoder feature selector for unsupervised feature selection.
Inf. Sci., March, 2024

2023
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means.
Inf. Sci., October, 2023

$\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means.
IEEE Trans. Fuzzy Syst., September, 2023

Unsupervised Subspace Learning With Flexible Neighboring.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Fast neighborhood reconstruction with adaptive weights learning.
Knowl. Based Syst., 2023

An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels.
Knowl. Based Syst., 2023

2022
Evaluation of the Efficacy of Statins in the Treatment of Coronary Artery Plaque Using Dual-Source Spiral Computed Tomography Image Features under Deep Learning.
Sci. Program., 2022

Subspace clustering by directly solving Discriminative K-means.
Knowl. Based Syst., 2022

2021
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.
IEEE Trans. Knowl. Data Eng., 2021

Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.
IEEE Trans. Image Process., 2021

Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images.
Remote. Sens., 2021

2020
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.
Pattern Recognit. Lett., 2020

A linear multivariate binary decision tree classifier based on K-means splitting.
Pattern Recognit., 2020

A forest of trees with principal direction specified oblique split on random subspace.
Neurocomputing, 2020

2019
Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access, 2019

2018
Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.
Multim. Tools Appl., 2018

Fast and Flexible Large Graph Embedding Based on Anchors.
IEEE J. Sel. Top. Signal Process., 2018

An improved locality preserving projection with ℓ<sub>1</sub>-norm minimization for dimensionality reduction.
Neurocomputing, 2018

Multi-view embedded clustering with unsupervised trace ratio LDA.
Neurocomputing, 2018

Efficient tree classifiers for large scale datasets.
Neurocomputing, 2018

2017
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
IEEE Trans. Image Process., 2017

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2017


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