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Parallel clustering algorithms
Parallel Computing, 1989zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Xiaobo, Fang, Zhixi
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Clusters Analyzer Algorithm for Informative Acquaintances - Quantum Clustering Algorithm
2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), 2020In this internet and digitalization age, information in any form is very important to perform a digital task. The processing of any information to obtain the desired results requires a specific medium and sometimes to accomplish various tasks related to that set of information like browsing, searching, sorting, retrieval and management.
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Clustering I: Basic Clustering Models and Algorithms
2013Clustering is a fundamental tool for data analysis. It finds wide applications in many engineering and scientific fields including pattern recognition, feature extraction, vector quantization, image segmentation, bioinformatics, and data mining. Clustering is a classical method for the prototype selection of kernel-based neural networks such as the RBF
Ke-Lin Du, M. N. S. Swamy
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A Robust Information Clustering Algorithm
Neural Computation, 2005We focus on the scenario of robust information clustering (RIC) based on the minimax optimization of mutual information (MI). The minimization of MI leads to the standard mass-constrained deterministic annealing clustering, which is an empirical risk-minimization algorithm.
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Noisy intermediate-scale quantum algorithms
Reviews of Modern Physics, 2022Kishor Bharti +2 more
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