Results 171 to 180 of about 1,986,530 (277)
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection. [PDF]
Chai X, Wu Z, Li W, Fan H, Sun X, Xu J.
europepmc +1 more source
Enhanced k-means Clustering Algorithm
Data clustering is an unsupervised classification method aims at creating groups of objects, or clusters, in such a way that objects in the same cluster are very similar and objects in different clusters are quite distinct. Though k-means is very popular for general clustering, it suffers from some disadvantages such as (1) Its performance depends ...
openaire
Kernel Enabled K-Means Algorithm
We present a novel method to learn arbitrary cluster boundaries by extending the k-means algorithm to use Mercer kernels. We inter- pret each cluster centroid as a linear com- bination of the cluster points in the higher dimensional space and use this formulation to kernel enable the k-means algorithm.
Vishwanathan, SVN, Murty, Narasimha M
openaire +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
A Multi-Robot Task Allocation Method Based on the Synergy of the K-Means++ Algorithm and the Particle Swarm Algorithm. [PDF]
Yuan Y, Yang P, Jiang H, Shi T.
europepmc +1 more source
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
Improving Performance of Cluster Heads Selection in DEC Protocol Using K-Means Algorithm for WSN. [PDF]
Juwaied A, Jackowska-Strumillo L.
europepmc +1 more source
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett +8 more
wiley +1 more source

