4 papers
Ranked Set Sampling-Based Multilayer Perceptron: Improving Generalization via Variance-Based Bounds
Feijiang Li, Liuya Zhang, Jieting Wang +2
Multilayer perceptron (MLP), one of the most fundamental neural networks, is extensively utilized for classification and regression tasks. In this paper, we establish a new general…
Hybrid Causal Identification and Causal Mechanism Clustering
Saixiong Liu, Yuhua Qian, Jue Li +2
Bivariate causal direction identification is a fundamental and vital problem in the causal inference field. Among binary causal methods, most methods based on additive noise only u…
k-HyperEdge Medoids for Clustering Ensemble
Feijiang Li, Jieting Wang, Liuya zhang +4
Clustering ensemble has been a popular research topic in data science due to its ability to improve the robustness of the single clustering method. Many clustering ensemble methods…
Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng, Feijiang Li, Jieting Wang +1
Deep clustering methods improve the performance of clustering tasks by jointly optimizing deep representation learning and clustering. While numerous deep clustering algorithms hav…