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Robust Location Algorithm for Planar Target Based on ...
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由 Y Guan 著作2009 — The algorithm is divided into three steps: first using fuzzy clustering algorithm to partition planar target data into different types, and then extract the ...
Robust Location Algorithm for Planar Target Based on ...
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由 Y Guan 著作2009 — The algorithm is divided into three steps: first using fuzzy clustering algorithm to partition planar target data into different types, and then extract the ...
Robust Location Algorithm for Planar Target Based on Fuzzy ...
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The algorithm is divided into three steps: first using fuzzy clustering algorithm to partition planar target data into different types, and then extract the ...
Robust Location Algorithm for Planar Target Based on Fuzzy ...
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The algorithm is divided into three steps: first using fuzzy clustering algorithm to partition planar target data into different types, and then extract the ...
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Robust location algorithm for planar target based on fuzzy clustering · Author Picture Yunlan Guan. Geoscience & Surveying and Mapping School, East China ...
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Robust fuzzy clustering of relational data | Request PDF
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2024年10月22日 — Advantages of this new algorithm are: faster convergence, robustness against outliers, and ability to handle all kinds of relational data, ...
A robust algorithm for automatic extraction of an unknown ...
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由 H Frigui 著作1996被引用 185 次 — A clustering algorithm that combines the advantages of fuzzy clustering and robust statistical estimators is presented. The algorithm generates two sets of ...
Fuzzy clustering and enumeration of target type based on ...
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由 B Barshan 著作2004被引用 22 次 — The fuzzy c-means (FCM) clustering algorithm is used in conjunction with a cluster validity criterion, to determine the number of different types of targets ...
Robust fuzzy clustering for multiple instance regression.
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This Master's Thesis is brought to you for free and open access by ThinkIR: The University of Louisville's Institutional Repository. It has been accepted.
Robust fuzzy clustering for multiple instance regression.
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由 M Trabelsi 著作2018被引用 15 次 — These algorithms seek points in the instance feature space with strong correlation to instances from positive bags and no or low correlation to instances from ...
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