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Robust Clustering Algorithms and Potential Applications. Algorithms for robust data clustering, image segmentation and data classification

Код 895771

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Аннотация к книге "Robust Clustering Algorithms and Potential Applications. Algorithms for robust data clustering, image segmentation and data classification"

Several novel and robust learning algorithms, with the aim to overcome the drawbacks of traditional clustering algorithms, are developed for data clustering and its applications. The effectiveness and superiority of the proposed methods are supported by experimental results. 1) Te proposed RDA exhibits several robust clustering characteristics: robust to the initialization; robust to cluster volumes; and robust to noise and outliers. 2) The proposed IFCSS algorithm achieves two robust...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6391-8069-5
Объём: 192 страниц
Масса: 313 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

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