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Hybrid Tracking Algorithm Improvements and Cluster Analysis Methods

机译：混合跟踪算法改进和聚类分析方法

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摘要

This report details three areas of research undertaken during the past contractual year. First, detailed explanations are provided concerning the modifications made to Tracor's Hybrid Tracking Algorithm (HTA) to improve its overall tracking performance. Second, a summary is provided of Tracor's preliminary investigation into the use of cluster analysis techniques to sort data in the multi-target tracking problem. Finally, a description is provided of an experimental design technique known as response surface methodology. (Author)

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作者
Cooper, D.; Corser, G.; Wilson, T.;
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年度 1982
页码 p.1-104
总页数 104
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Tracking; Underwater targets; Algorithms; Hybrid systems; Passive systems; Sonobuoys; Clustering; Sorting; Data management; Systems analysis; Methodology;

机译：跟踪;水下目标;算法;混合系统;被动系统; sonobuoys;聚类;排序;数据管理;系统分析;方法;

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机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法，最小生成树和分层聚类的三种混合方法的比较
2. The Deterministic Annealing Filter: A new clustering method for γ-ray tracking algorithms [J] . F. Didierjean, G. Duchene, A. Lopez-Martens Nuclear instruments and methods in physics research . 2010,第2期

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3. A hybrid global maximum power point tracking method based on butterfly particle swarm optimization and perturb and observe algorithms for a photovoltaic system under partially shaded conditions [J] . Mathi Dileep Krishna, Chinthamalla Ramulu European transactions on electrical power engineering . 2020,第10期

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4. Analysis and Improvement of Maximum Power Point Tracking Algorithm Based on Incremental Conductance Method for Photovoltaic Array [C] . Bangyin Liu, Shanxu Duan, Fei Liu, International Conference on Power Electronics and Drive Systems . 2007

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5. Mathematical Methods and Algorithms for Identification, Tracking, and Quantitative Analysis in Cellular Bioimaging. [D] . Zerari Boukari, Fatima. 2017

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6. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm Minimum Spanning Tree and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法最小生成树和分层聚类的三种混合方法的比较
7. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

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8. Hybrid Tracking Algorithm Improvements and Cluster Analysis Methods. [R] . Cooper, D., Corser, G., Wilson, T. 1982

机译：混合跟踪算法改进和聚类分析方法。

Hybrid Tracking Algorithm Improvements and Cluster Analysis Methods

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