Results 121 to 130 of about 234,781 (273)
Spectral clustering ensemble algorithm based on three-order tensor for large-scale data
In order to reduce the computational burden of large-scale data spectral clustering and further improve the clustering accuracy and robustness, the spectral clustering ensemble algorithm based on the three-order tensor for large-scale data was proposed ...
Yunzheng WU +4 more
doaj
ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub +24 more
wiley +1 more source
Movement Disorders in Aicardi–Goutières Syndrome and Response to Immunomodulation
ABSTRACT This study characterizes movement disorders and treatment responses in seven children with Aicardi–Goutières syndrome (AGS). We retrospectively evaluated motor phenotypes, neuroimaging, and interferon signatures in patients treated with baricitinib or anifrolumab. Spasticity affected all patients, while dystonia was present in 4/7.
Enrique Gonzalez Saez‐Diez +10 more
wiley +1 more source
Cloud-Assisted Privacy-Preserving Spectral Clustering Algorithm Within a Multi-User Setting
Spectral clustering, a powerful algorithm in the field of AI, holds a significant role despite its inherent high time complexity. For data owners grappling with limitations such as small datasets and restricted computational resources, harnessing the ...
Lida Xu +4 more
doaj +1 more source
Estimating Mixed Memberships in Directed Networks by Spectral Clustering. [PDF]
Qing H.
europepmc +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source
Modelling and application of a spectral clustering method for shared bicycle trajectories
Geographic flow clustering analysis can effectively reveal human behavioral patterns in movement. Traditional methods for studying human movement patterns are mostly based on first-order quantity analyses of point data, such as hotspots, density or ...
Wenwen Xing +4 more
doaj +1 more source
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. [PDF]
Zhu Y, Segarra S.
europepmc +1 more source
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Graph Convolutional Spectral Clustering for Electricity Market Data Clustering
As the power grid undergoes transformation and the Internet’s influence grows, the electricity market is evolving towards informatization. The expanding scale of the power grid and the increasing complexity of operating conditions have generated a ...
Longda Huang +3 more
doaj +1 more source

