Results 41 to 50 of about 463,538 (280)
Incomplete Multi-view Clustering [PDF]
, 2016 Real data often consists of multiple views (or representations). By exploiting complementary and consensus grouping information of multiple views, multi-view clustering becomes a successful practice for boosting clustering accuracy in the past decades. Recently, researchers have begun paying attention to the problem of incomplete view.
Gao, Hang, Peng, Yuxing, Jian, Songlei
openaire +2 more sources
, 2015 We present in this paper an empirical framework motivated by the practitioner point of view on stability. The goal is to both assess clustering validity and yield market insights by providing through the data perturbations we propose a multi-view of the ...
Donnat, Philippe +3 more
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Multi-Source Multi-View Clustering via Discrepancy Penalty
, 2016 With the advance of technology, entities can be observed in multiple views. Multiple views containing different types of features can be used for clustering.
He, Lifang +3 more
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Multi-view Graph Embedding with Hub Detection for Brain Network Analysis
, 2017 Multi-view graph embedding has become a widely studied problem in the area of graph learning. Most of the existing works on multi-view graph embedding aim to find a shared common node embedding across all the views of the graph by combining the different
He, Lifang +4 more
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Auto-Weighted Incomplete Multi-View Clustering
IEEE Access, 2020 Nowadays, multi-view clustering has attracted more and more attention, which provides a way to partition multi-view data into their corresponding clusters. Previous studies assume that each data instance appears in all views.
Wanyu Deng +3 more
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Multi-view predictive partitioning in high dimensions
, 2012 Many modern data mining applications are concerned with the analysis of datasets in which the observations are described by paired high-dimensional vectorial representations or "views".
McWilliams, Brian, Montana, Giovanni
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Online Unsupervised Multi-view Feature Selection
, 2016 In the era of big data, it is becoming common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view data are usually unlabeled and come from high-dimensional spaces (such as language vocabularies ...
He, Lifang +4 more
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Multi-View Clustering With Learned Bipartite Graph
IEEE Access, 2021 In this paper, we propose a late fusion multi-view clustering via a learned bipartite graph (MVC-LBG). Firstly, we obtain the base partition from each single view.
Miaomiao Li, Weixuan Liang, Xinwang Liu
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Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source