Results 1 to 10 of about 5,224,308 (308)
Multi-view data visualisation via manifold learning [PDF]
PeerJ Computer Science, 2021 Non-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
doaj +8 more sources
Robust integrative biclustering for multi-view data. [PDF]
Stat Methods Med Res, 2022 In many biomedical research, multiple views of data (e.g. genomics, proteomics) are available, and a particular interest might be the detection of sample subgroups characterized by specific groups of variables. Biclustering methods are well-suited for this problem as they assume that specific groups of variables might be relevant only to specific ...
Zhang W +4 more
europepmc +4 more sources
A multi-view genomic data simulator [PDF]
BMC Bioinformatics, 2015 OMICs technologies allow to assay the state of a large number of different features (e.g., mRNA expression, miRNA expression, copy number variation, DNA methylation, etc.) from the same samples. The objective of these experiments is usually to find a reduced set of significant features, which can be used to differentiate the conditions assayed.
FRATELLO, MICHELE +5 more
core +4 more sources
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
doaj +2 more sources
Joint association and classification analysis of multi‐view data [PDF]
Biometrics, 2021 AbstractMulti‐view data, which is matched sets of measurements on the same subjects, have become increasingly common with advances in multi‐omics technology. Often, it is of interest to find associations between the views that are related to the intrinsic class memberships.
Yunfeng Zhang, Irina Gaynanova
openaire +6 more sources
Structural Learning and Integrative Decomposition of Multi-View Data [PDF]
Biometrics, 2019 AbstractThe increased availability of multi-view data (data on the same samples from multiple sources) has led to strong interest in models based on low-rank matrix factorizations. These models represent each data view via shared and individual components, and have been successfully applied for exploratory dimension reduction, association analysis ...
Irina Gaynanova, Gen Li
openaire +5 more sources
Spectral Perturbation Meets Incomplete Multi-view Data [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Beyond existing multi-view clustering, this paper studies a more realistic clustering scenario, referred to as incomplete multi-view clustering, where a number of data instances are missing in certain views. To tackle this problem, we explore spectral perturbation theory.
Wang, Hao +4 more
openaire +4 more sources
Clustering-based anomaly detection in multi-view data [PDF]
Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013 This paper proposes a simple yet effective anomaly detection method for multi-view data. The proposed approach detects anomalies by comparing the neighborhoods in different views. Specifically, clustering is performed separately in the different views and affinity vectors are derived for each object from the clustering results.
Marcos Alvarez, Alejandro +3 more
openaire +3 more sources
Data Anonymization through Collaborative Multi-view Microaggregation [PDF]
Journal of Intelligent Systems, 2020 The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk.
Zouinina Sarah +3 more
doaj +2 more sources
ViSimpl: Multi-view Visual Analysis of Brain Simulation Data [PDF]
Frontiers in Neuroinformatics, 2016 After decades of independent morphological and functional brain research, a key point in neuroscience nowadays is to understand the combined relationships between the structure of the brain and its components and their dynamics on multiple scales ...
Sergio E. Galindo +6 more
doaj +3 more sources