Fuzzy c-means (FCM) clustering had been extended for handling multi-view data with collaborative idea. However, these collaborative multi-view FCM treats multi-view data under equal importance of feature components. In general, different features should take different weights for clustering real multi...
Collaborative feature-weighted multi-view fuzzy c-means clustering Pattern Recognition Volume 119,November 2021, Page 108064 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic or personal use only. ...
Deep multi-view graph clustering network with weighting mechanism and collaborative training阅读笔记 gauge 2 人赞同了该文章 1.论文背景 随着图卷积网络(GCN)在图嵌入学习中具有强大的功能,同时能够捕获节点特征信息的发展,基于图自编码器的深度多视点图聚类方法已成为一种新的流。虽然他们达到满意的性能,他们仍...
By comparing stMVC with the three SGATE-based single-view models, we found that stMVC has a better performance in terms of clustering, inference of trajectory, and denoising, which is mainly attributed to the collaborative learning of multi-view graphs. Besides, we observed that SGATE-based spa...
This study/project is also funded by the National Institute for Health Research (NIHR) Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC) grant NIHR202639. The views expressed are those of the author(s) and not necessarily those of the ...
In order to improve the performance of social recommendation, some studies have used classification techniques, for instance: Guo et al. [9] developed a multi-view clustering method through which users are iteratively clustered on the basis of rating patterns in one view and social trust relationsh...
[13] X. He, M.-Y. Kan, P. Xie, and X. Chen. Comment-based multi-view clustering of web 2.0 items. In WWW, pages 771–782, 2014. [14] X. He, H. Zhang, M.-Y. Kan, and T.-S. Chua. Fast matrix factorization for online recommendation with implicit feedback. In SIGIR, page...
[13] X. He, M.-Y. Kan, P. Xie, and X. Chen. Comment-based multi-view clustering of web 2.0 items. In WWW, pages 771–782, 2014. [14] X. He, H. Zhang, M.-Y. Kan, and T.-S. Chua. Fast matrix factorization for online recommendation with implicit feedback. In SIGIR, page...
such as clustering of distributed data, multi-expert clustering, multi-scale clustering analysis or multi-view clustering. Most of these frameworks can be regrouped under the umbrella of transfer and collaborative learning, the aim of which is to reveal the underlying structure of the data by shari...
Besides probabilistic methods, there are also some cluster-based methods, exemplified by KmeanReg [36], where a multi-view registration method is developed using K-means clustering, and FuzzyGRegWithQA(C2F) [37], where the fuzzy cluster-based method is proposed to align multiple viewpoints. ...