Suchergebnisse - Nearest-neighbor chain algorithm

New Applications of the Nearest-Neighbor Chain Algorithm von Mamano Grande, Nil

“… The nearest-neighbor chain algorithm was proposed in the eighties as a way to speed up certain hierarchical clustering algorithms …”
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A novel data clustering algorithm using heuristic rules based on k-nearest neighbors chain von Lu, Jianyun, Zhu, Qingsheng, Wu, Quanwang

“… : it uses heuristic rules based on k-nearest neighbors chain and does not require the number of clusters as the input parameter …”
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Assisted history matching in shale gas well using multiple-proxy-based Markov chain Monte Carlo algorithm: The comparison of K-nearest neighbors and neural networks as proxy model von Tripoppoom, Sutthaporn, Ma, Xinhua, Yong, Rui, Wu, Jianfa, Yu, Wei, Sepehrnoori, Kamy, Miao, Jijun, Li, Ning

“… •K-nearest neighbors and neural networks as proxy model was compared.•Hydraulic fracture properties were identified in a probabilistic manner …”
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Research on Model and Algorithm of Multiview and Multilabel Classification Based on Nearest-Neighbor Model von Zhang, Junyi, Rao, Yuan

“… In this study, a multiview multilabel via optimal classifier chain (MVMLOCC) algorithm based on the nearest-neighbor model is proposed …”
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Exact memory–constrained UPGMA for large scale speaker clustering von Cumani, Sandro, Laface, Pietro

“… •We focus on exact hierarchical clustering of large sets of utterances.•Hierarchical clustering is challenging due to memory constraints.•We propose an …”
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Research on Heilongjiang Supply Chain Finance Development Model Based on Fast k-Nearest Neighbor Algorithm von Zhang, Shuli

“… A supply chain finance development model of Heilongjiang Province based on fast k-nearest neighbor algorithm is proposed …”
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Bayesian Recognition of Inflammatory Processes in Brain Gliomas von Gridina, N. Ja, Gupal, A. M., Tarasov, A. L.

“… The analysis of results of the recognition methods based on tree network methods, Markov chains, and nearest neighbor algorithm has shown that Bayesian procedure …”
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A vision-based serial number recognition algorithm for HSR trains by nearest neighbor chains of connected components von Li, Bo, Tian, Bin, Li, Ye, Xiong, Gang, Zhu, Fenghua

“… Based on the pairwise geometry relation between candidates, these connected components constitute the nearest neighbor chain …”
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A parallel algorithm for the degree-constrained minimum spanning tree problem using nearest-neighbor chains von Mao, Li-Jen, Deo, Narsingh, Lang, Sheau-Dong

“… Since computing the d-MST is NP-hard for every d in the range 2/spl les/d/spl les/(n-2) where n denotes the total number of nodes, several approximate algorithms have been proposed in the literature …”
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Application on Cold Chain Logistics Routing Optimization Based on Improved Genetic Algorithm von Liyi Zhang, Gao, Yang, Sun, Yunshan, Fei, Teng, Wang, Yujing

“… – seeker genetic algorithm. By combining the uncertainty reasoning behavior in the seeker optimization algorithm and the nearest neighbor strategy, we improve the mutation operator in the genetic algorithm …”
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Analyzing the effect of data preprocessing techniques using machine learning algorithms on the diagnosis of COVID‐19 von Erol, Gizemnur, Uzbaş, Betül, Yücelbaş, Cüneyt, Yücelbaş, Şule

“… Summary Real‐time polymerase chain reaction (RT‐PCR) known as the swab test is a diagnostic test that can diagnose COVID …”
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Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining von Jeon, Yongkweon, Yoon, Sungroh

“… To address this issue, we propose a new parallelization scheme for multi-threaded shared-memory machines based on the concept of nearest-neighbor (NN) chains …”
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Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets von Datta, Abhirup, Banerjee, Sudipto, Finley, Andrew O., Gelfand, Alan E.

“… This article develops a class of highly scalable nearest-neighbor Gaussian process (NNGP) models to provide fully model-based inference for large geostatistical datasets …”
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Generalizing Rosenbluth's Algorithm to Include Along‐the‐Chain Intramolecular Energies von Aldaais, Ebtisam A., Crittenden, Scott

“… ABSTRACT We incorporate the Boltzmann factors for inter‐monomer bending energy into the monomer growth direction choice in Rosenbluth's algorithm to model chains of arbitrary nearest‐neighbor rigidity …”
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Fast reciprocal nearest neighbors clustering von López-Sastre, Roberto J., Oñoro-Rubio, Daniel, Gil-Jiménez, Pedro, Maldonado-Bascón, Saturnino

“… ) clustering algorithm, i.e. the fast-RNN. We speed up the nearest neighbor chains construction via a novel dynamic slicing strategy for the projection search paradigm …”
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A comparative study of statistical machine learning methods for condition monitoring of electric drive trains in supply chains von Lahmiri, Salim

“… Large data is used to train linear discriminant analysis, K-nearest neighbor algorithm, naïve Bayes, kernel …”
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Perbandingan Metoda Klasifikasi K-Nearest Neighbor dan Support Vector Machine pada Pengenalan Benda Terhalang berbasis Kode Rantai von KURNIA, RAHMADI, ASMITA, MELIA, IHSAN, ROZAKY, ELFITRI, IKHWANA, HADI, DANANG KUMARA

“… Penelitian ini membandingkan metoda klasifikasi K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM …”
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Parallel algorithms for the degree-constrained minimum spanning tree problem using nearest-neighbor chains and the heap-traversal technique von Li-Jen Mao, Sheau-Dong Lang

“… ) take advantage of nearest neighbors and their properties. Our experimental results showed that both the TC-RNN and TC-NNC algorithms consistently produce spanning trees with a smaller weight …”
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Efficient Green Supply Chain Management for Transit Manufacturing Enterprises Integrating AHP, K-NN, and MILP in the Context of Sustainable Development von Wang, Ling

“… Then, the K-nearest neighbor and decision tree algorithms are used to pre-process the partner data, and the partner is double-screened according to the index …”
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Neural Network and Nearest Neighbor Algorithms for Enhancing Sampling of Molecular Dynamics von Galvelis, Raimondas, Sugita, Yuji

“… : the nearest neighbor density estimator (NNDE) and the artificial neural network (ANN) for the bias potential approximation …”
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