期刊论文

Ni, L

英文

Applied Sciences-Basel

2076-3417

2024

14

11

4946-

10.3390/app14114946

L.N.: Conceptualization, methodology, software, investigation, formal analysis, writing—original draft preparation, writing—review and editing, funding acquisition; P.M.: visualization, validation, data curation, supervision, funding acquisition; W.Q.: investigation, formal analysis, resources. All authors have read and agreed to the published version of the manuscript. This work is supported by the National Key R&D Program of China (Grant 2017YFB0202901, 2017YFB0202905), the Hunan Natural Science Foundation Project (No. 2023JJ50353).

本校为第一且通讯机构

With the development of network technology, information networks have become one of the most important means for people to understand society. As the scale of information networks expands, the construction of network graphs and high-dimensional feature representation will become major factors affecting the performance of spectral clustering algorithms. To address this issue, in this paper, we propose a spectral clustering algorithm based on similarity graphs and non-linear deep embedding, named SEG_SC. This algorithm introduces a new spectral clustering model that explores the underlying struc...