Suchergebnisse - Functional k-means clustering algorithm

K-Means Clustering Algorithm–Based Functional Magnetic Resonance for Evaluation of Regular Hemodialysis on Brain Function of Patients with End-Stage Renal Disease von Cheng, Yan, Yu, Yan

“… ). Resting-state functional magnetic resonance imaging (rs-fMRI) based on improved k-means clustering algorithm (k-means …”
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A new distance with derivative information for functional k-means clustering algorithm von Meng, Yinfeng, Liang, Jiye, Cao, Fuyuan, He, Yijun

“… •Present the optimal representation of cluster centroids for the functional k-means clustering algorithm based on the new distance …”
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Machine Learning K-Means Clustering Algorithm for Interpolative Separable Density Fitting to Accelerate Hybrid Functional Calculations with Numerical Atomic Orbitals von Qin, Xinming, Li, Jielan, Hu, Wei, Yang, Jinlong

“… ) calculations with numerical atomic orbitals (NAOs). In this work, we present a machine learning K-means clustering algorithm to select the interpolation points in ISDF …”
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Complex-Valued K-Means Clustering of Interpolative Separable Density Fitting Algorithm for Large-Scale Hybrid Functional Enabled Ab Initio Molecular Dynamics Simulations within Plane Waves von Jiao, Shizhe, Li, Jielan, Qin, Xinming, Wan, Lingyun, Hu, Wei, Yang, Jinlong

“… K-means clustering, as a classic unsupervised machine learning algorithm, is the key step to select the interpolation sampling points in interpolative separable density fitting (ISDF …”
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Machine Learning K-Means Clustering in Interpolative Separable Density Fitting Algorithm: Advancing Accurate and Efficient Cubic-Scaling Density Functional Perturbation Theory Calculations within Plane Waves von Li, Jielan, Yang, Liu, Wan, Lingyun, Hu, Wei, Yang, Jinlong

“… Here, we present a machine learning K-means clustering algorithm to select the interpolation points in ISDF, which offers …”
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Sample Entropy Combined with the K-Means Clustering Algorithm Reveals Six Functional Networks of the Brain von Jia, Yanbing, Gu, Huaguang

“… ) data acquired from healthy participants. The 160 ROIs are clustered into six clusters by applying the K-means clustering algorithm to the SampEn of dynamic FC …”
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Crisp and fuzzy k-means clustering algorithms for multivariate functional data von Tokushige, Shuichi, Yadohisa, Hiroshi, Inada, Koichi

“… in Japan J Appl Stat 29:27–39, 2000). In addition, several methods for clustering functional data have been proposed (Abraham et al. in Scand J Stat 30:581–595, 2003 …”
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Urban storm flood simulation using improved SWMM based on K‐means clustering of parameter samples von Sun, Yue, Liu, Chengshuai, Du, Xian, Yang, Fan, Yao, Yichen, Soomro, Shan‐e‐hyder, Hu, Caihong

“… Calibrated uncertain parameters from 76 papers were selected as samples, and the K‐means clustering algorithm was used to cluster and calculate the parameter values …”
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A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data von Martino, Andrea, Ghiglietti, Andrea, Ieva, Francesca, Paganoni, Anna Maria

“… on other distances typically adopted for clustering multivariate functional data. In these simulations, it is shown that the k -means algorithm with the generalized Mahalanobis …”
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A new algorithm for spatiotemporal analysis of brain functional connectivity von Mheich, A., Hassan, M., Khalil, M., Berrou, C., Wendling, F.

“… The proposed algorithm is based on the K-means clustering of the connectivity graphs obtained from the phase …”
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Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm von Orlando Morais, Felipe, Andriani, Karla F, Da Silva, Juarez L F

“… Here, we report density functional theory calculations combined with the k-means clustering algorithm and the Spearman rank correlation analysis to investigate the stability mechanisms of eight-atom …”
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Distinct Brain Dynamic Functional Connectivity Patterns in Schizophrenia Patients With and Without Auditory Verbal Hallucinations von Zhang, Yao, Wang, Jia, Lin, Xin, Yang, Min, Qi, Shun, Wang, Yuhan, Liang, Wei, Lu, Huijie, Zhang, Yan, Zhai, Wensheng, Hao, Wanting, Cao, Yang, Huang, Peng, Guo, Jianying, Hu, Xuehui, Zhu, Xia

“… connectivity states were then obtained with the k-means clustering algorithm …”
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BK-SWMM flood simulation framework is being proposed for urban storm flood modeling based on uncertainty parameter crowdsourcing data from a single functional region von Liu, Chengshuai, Li, Wenzhong, Zhao, Chenchen, Xie, Tianning, Jian, Shengqi, Wu, Qiang, Xu, Yingying, Hu, Caihong

“… In recent years, urban flood disasters caused by sudden heavy rains have become increasingly severe, posing a serious threat to urban public infrastructure and …”
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Alteration of the large-scale white-matter functional networks in autism spectrum disorder von Chen, Kai, Zhuang, Wenwen, Zhang, Yanfang, Yin, Shunjie, Liu, Yinghua, Chen, Yuan, Kang, Xiaodong, Ma, Hailin, Zhang, Tao

“… Here, we identified ten white-matter functional networks on resting-state functional magnetic resonance imaging data using the K-means clustering algorithm …”
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Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London von Niu, Haifeng, Silva, Elisabete A.

“… Delineating urban functional use plays a key role in understanding urban dynamics, evaluating planning strategies and supporting policymaking …”
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Investigating dynamic functional network patterns after propofol-induced loss of consciousness von Zhang, Yun, Wang, Chunshu, Wang, Yubo, Yan, Fei, Wang, Qiang, Huang, Liyu

“… K-means clustering algorithm is then employed to identify the common brain functional network patterns …”
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k -mean alignment for curve clustering von Sangalli, Laura M., Secchi, Piercesare, Vantini, Simone, Vitelli, Valeria

“… The problem of curve clustering when curves are misaligned is considered. A novel algorithm is described, which jointly clusters and aligns curves …”
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Fuzzy C-Means and Fuzzy K-Means Algorithms using Fuzzy Functional Dependencies von Reddy Poli, Venkata Subba

“… In this paper, we proposed fuzzy c-means clustering algorithm using fuzzy association functional dependencies and Fuzzy K-means MapReduce algorithms using fuzzy association multivalued functional dependencies …”
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Attenuated brain white matter functional network interactions in Parkinson's disease von Meng, Li, Wang, Hongyu, Zou, Ting, Wang, Xuyang, Chen, Huafu, Xie, Fangfang, Li, Rong

“… ‐means clustering algorithm, which were further classified as deep, middle, and superficial layers. Network …”
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Linear Transformations and the k-Means Clustering Algorithm: Applications to Clustering Curves von Tarpey, Thaddeus

“… Functional data can be clustered by plugging estimated regression coefficients from individual curves into the k-means algorithm …”
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