Results 11 to 20 of about 20,013,753 (226)

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering

open access: yesSensors, 2020
With the enormous amount of multi-source data produced by various sensors and feature extraction approaches, multi-view clustering (MVC) has attracted developing research attention and is widely exploited in data analysis. Most of the existing multi-view
Pei Zhang   +6 more
doaj   +2 more sources

Tensor-Based Uncoupled and Incomplete Multi-View Clustering

open access: yesMathematics
Multi-view clustering demonstrates strong performance in various real-world applications. However, real-world data often contain incomplete and uncoupled views.
Yapeng Liu   +5 more
doaj   +2 more sources

Incomplete Multi-view Clustering via Diffusion Completion [PDF]

open access: yes, 2023
Incomplete multi-view clustering is a challenging and non-trivial task to provide effective data analysis for large amounts of unlabeled data in the real world. All incomplete multi-view clustering methods need to address the problem of how to reduce the
Fang, Sifan
core  

Incomplete Multi-view Clustering via Cross-view Relation Transfer [PDF]

open access: yes, 2021
In this paper, we consider the problem of multi-view clustering on incomplete views. Compared with complete multi-view clustering, the view-missing problem increases the difficulty of learning common representations from different views.
Chang, Dongxia   +3 more
core   +1 more source

Efficient and effective regularized incomplete multi-view clustering [PDF]

open access: yes, 2021
Incomplete multi-view clustering (IMVC) optimally combines multiple pre-specified incomplete views to improve clustering performance. Among various excellent solutions, the recently proposed multiple kernel k -means with incomplete kernels (MKKM-IK ...
Tang, C. (Chang)   +7 more
core   +2 more sources

Scalable Incomplete Multi-View Clustering with Structure Alignment [PDF]

open access: yes, 2023
The success of existing multi-view clustering (MVC) relies on the assumption that all views are complete. However, samples are usually partially available due to data corruption or sensor malfunction, which raises the research of incomplete multi-view ...
Liang, Weixuan   +8 more
core   +1 more source

Consensus Partition Guided Incomplete Multi-View Clustering

open access: yesIEEE Access
Incomplete multi-view clustering aims to derive a comprehensive consensus partition that is shared across all views, a topic that has attracted significant attention in recent years.
Chunyu Yang, Hongyun Yue
doaj   +1 more source

Efficient and Effective Incomplete Multi-View Clustering

open access: yes, 2019
Incomplete multi-view clustering (IMVC) optimally fuses multiple pre-specified incomplete views to improve clustering performance. Among various excellent solutions, the recently proposed multiple kernel k-means with incomplete kernels (MKKM-IK) forms a ...
Li, Miaomiao   +6 more
core   +1 more source

One-Pass Incomplete Multi-View Clustering

open access: yes, 2019
Real data are often with multiple modalities or from multiple heterogeneous sources, thus forming so-called multi-view data, which receives more and more attentions in machine learning. Multi-view clustering (MVC) becomes its important paradigm.
Chen, Songcan, Hu, Menglei
core   +1 more source

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity

open access: yes, 2022
Incomplete multi-view clustering (IMVC) is an important unsupervised approach to group the multi-view data containing missing data in some views. Previous IMVC methods suffer from the following issues: (1) the inaccurate imputation or padding for missing
Xu, Jie   +6 more
core   +1 more source

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