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U*F clustering: a new performant 'cluster-mining' method based on segmentation of Self-Organizing Maps

机译：U * F聚类：一种基于自组织图分割的新型性能“聚类挖掘”方法

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International audience

机译：国际观众

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作者
Moutarde Fabien; Ultsch Alfred;
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年度 2005
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原文格式 PDF
正文语种 en
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专利

1. Integration of Self-Organizing Feature Maps and Genetic-Algorithm-Based Clustering Method for Market Segmentation [J] . R. J. Kuo, K. Chang, S. Y. Chien Journal of organizational computing and electronic commerce . 2004,第1期

机译：自组织特征图与基于遗传算法的聚类方法的集成
2. Self-Organizing Map-Based Color Image Segmentation withk-Means Clustering and Saliency Map [J] . DongxiangChi International Scholarly Research Notices . 2011,第6期

机译：基于自组织图的彩色图像分割与k均值聚类和显着性图
3. Self-Organizing Feature Map and K-Means Algorithm with Automatically Splitting and Merging Clusters based Image Segmentation [J] . Tamanna Yesmin Rashme, Mohammed Nasir Uddin International Journal of Image, Graphics and Signal Processing . 2018,第10期

机译：基于图像分割的自动分类聚类自组织特征图和K-Means算法
4. Automatic liver MR image segmentation with self-organizing map and hierarchical agglomerative clustering method [C] . 3rd International Congress on Image and Signal Processing . 2010

机译：具有自组织图和层次聚类聚类方法的肝脏自动MR图像分割
5. Natural scene segmentation based on information fusion and hierarchical self-organizing maps. [D] . Datar, Manasi. 2005

机译：基于信息融合和分层自组织图的自然场景分割。
6. Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps [O] . Peter Meinicke, Thomas Lingner, Alexander Kaever, 2008

机译：使用一维自组织图基于代谢物的质谱数据聚类和可视化
7. Self-Organizing Map-Based Color Image Segmentation with k-Means Clustering and Saliency Map [O] . Dongxiang Chi 2011

机译：自组织基于地图的彩色图像分割，具有K-means聚类和显着图

U*F clustering: a new performant 'cluster-mining' method based on segmentation of Self-Organizing Maps

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