no code implementations • 12 May 2023 • Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao
Although numerous clustering algorithms have been developed, many existing methods still leverage k-means technique to detect clusters of data points.
no code implementations • 29 Mar 2023 • Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao
Multi-view clustering (MVC) based on non-negative matrix factorization (NMF) and its variants have received a huge amount of attention in recent years due to their advantages in clustering interpretability.
no code implementations • 15 Oct 2021 • Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao
Thus, for the OOS nodes, SCAGC can directly calculate their clustering labels.
no code implementations • 15 Aug 2021 • Quanxue Gao, Wei Xia, Xinbo Gao, Xiangdong Zhang, Qin Li, DaCheng Tao
Despite the impressive clustering performance and efficiency in characterizing both the relationship between data and cluster structure, existing graph-based multi-view clustering methods still have the following drawbacks.
no code implementations • 29 Jun 2021 • Tianyu Jiang, Quanxue Gao, Xinbo Gao
Specifically, we construct a hidden and tractable large graph by anchor graph for each view and well exploit complementary information embedded in anchor graphs of different views by tensor Schatten p-norm regularizer.
no code implementations • 29 Mar 2020 • Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research attention in recent years, among which, multi-view clustering (MVC) forms a mainstream research direction and is widely used in data analysis.