Results 151 to 160 of about 559,125 (302)
Improvement of K-Means Algorithm and Its Application in Air Passenger Grouping. [PDF]
Comput Intell Neurosci, 2022 Yu D, Dong S, Yao S.
europepmc +1 more source
, 2020 Summary The K-Means Clustering Approach is one of main algorithms in the literature of Pattern recognition and Machine Learning. Yet, due to the random selection of cluster centers and the adherence of results to initial cluster centers, the risk of ...
Mohammad Babrdel Bonab
core
, 2015 Due to the problem of balance for energy consumption in underwater wireless sensor networks (UWSNs), a cluster-based routing protocol for UWSNs based on an improved K-means algorithm was proposed.
Hongliang Sun +5 more
core +1 more source
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
Annals of Clinical and Translational Neurology, EarlyView.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
Application of K-means algorithm to Werner deconvolution solutions for depth and image estimations. [PDF]
Heliyon, 2022 Eshimiakhe D, Lawal K.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source
Retracted: Systematic Risk Analysis of Semiconductor Global Market Based on Deep Feature Fusion K-Means Algorithm. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Optimized clustering with modified K-means algorithm
, 2021 huge data is a big challenge. Clustering technique is able to find hidden patterns and to extract useful information from huge data. Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of ...
Alibuhtto, Mohamed Cassim
core
Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann +17 more
wiley +1 more source
Analysis and Improvement for K-Means Algorithm
, 2011 K-Means algorithm is one of the mostly used foundation algorithm in data mining, it base on a greedy clustering algorithm. This paper will introduce this algorithm and analysis. Then prove the correctness of the algorithm.
Li Xiao, Jing Zhong Xiao
core +1 more source