Consistent graph learning for multi-view spectral clustering
D Xie, Q Gao, Y Zhao, F Yang, W Song - Pattern Recognition, 2024 - Elsevier
Given the heterogeneous information of multiple views and the possible noise embedded in
multi-view data, it is difficult to directly learn a consistent representation from multiple graphs …
multi-view data, it is difficult to directly learn a consistent representation from multiple graphs …
Learning enhanced specific representations for multi-view feature learning
Y Hao, XY Jing, R Chen, W Liu - Knowledge-Based Systems, 2023 - Elsevier
Multi-view data has two basic characteristics: consensus property and complementary
property, in which complementary information refers to all view-specific information. Inspired …
property, in which complementary information refers to all view-specific information. Inspired …
Path-scan: A novel clustering algorithm based on core points and connexity
F Ros, S Guillaume, R Riad - Expert Systems with Applications, 2022 - Elsevier
A new clustering algorithm Path-scan aiming at discovering natural partitions is proposed. It
is based on the idea that a (k, ɛ) coreset of the original data base represented by core and …
is based on the idea that a (k, ɛ) coreset of the original data base represented by core and …
Consensus and diversity-fusion partial-view-shared multi-view learning
L Teng, Z Zheng - Neurocomputing, 2025 - Elsevier
Due to the multi-perspective of data, multi-view learning (MVL) is usually employed.
Although existing MVL approaches gain fruitful achievements, they may neglect to learn (a) …
Although existing MVL approaches gain fruitful achievements, they may neglect to learn (a) …