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Multi-view data visualisation via manifold learning [PDF]
PeerJ Computer ScienceNon-linear dimensionality reduction can be performed by manifold learning approaches, such as stochastic neighbour embedding (SNE), locally linear embedding (LLE) and isometric feature mapping (ISOMAP).
Theodoulos Rodosthenous +2 more
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Multi-View Data Analysis Techniques for Monitoring Smart Building Systems [PDF]
Sensors, 2021 In smart buildings, many different systems work in coordination to accomplish their tasks. In this process, the sensors associated with these systems collect large amounts of data generated in a streaming fashion, which is prone to concept drift.
Vishnu Manasa Devagiri +4 more
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Multi-view Clustering: A Survey
Big Data Mining and Analytics, 2018 In the big data era, the data are generated from different sources or observed from different views. These data are referred to as multi-view data. Unleashing the power of knowledge in multi-view data is very important in big data mining and analysis ...
Yan Yang, Hao Wang
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Axioms, 2023 The generation of unprecedented amounts of data brings new challenges in data management, but also an opportunity to accelerate the identification of processes of multiple science disciplines.
Deniz Akdemir +2 more
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IEEE Access, 2022 Clustering of multi-view data has got broad consideration of the researchers. Multi-view data is composed through different domain which shows the consistent and complementary behavior.
Mohammad Ahmar Khan +8 more
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Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning
IEEE Access, 2020 Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
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Analysis of Malware Communities Using Multi-Modal Features
IEEE Access, 2020 Identifying possible threat actors from samples of malware remains an active area of research with important ramifications for cybersecruity practitioners. The unsupervised identification and characterization of malware samples has been primarily treated
Iain J. Cruickshank, Kathleen M. Carley
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Missing data in multi-omics integration: Recent advances through artificial intelligence
Frontiers in Artificial Intelligence, 2023 Biological systems function through complex interactions between various ‘omics (biomolecules), and a more complete understanding of these systems is only possible through an integrated, multi-omic perspective.
Javier E. Flores +5 more
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Overview of Multi-view Dimension Reduction Algorithm Based on Canonical Correlation Analysis [PDF]
Jisuanji gongcheng, 2020 With the development of data acquisition technology and the diversification of data obtaining approaches,the obtained data often have multiple views,so the multi-view data are formed.To study the information contained in these data becomes an research ...
ZHANG Enhao, CHEN Xiaohong, LIU Hong, ZHU Yulian
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Label Correlation Guided Deep Multi-View Image Annotation
IEEE Access, 2019 Automatic image annotation is an important technique which has been widely applied in many fields such as social network image analysis and retrieval, face recognition and so on.
Zhe Xue +4 more
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