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With our novel Growing Hierarchical Self-Organizing Map (GHSOM) we address both limitations. The growing hierarchical som is an artificial neural network model with hierarchical architecture composed of independent gr...
This implementation is based on the paper The Growing Hierarchical Self-Organizing Map: Exploratory Analysis of High-Dimensional Data
Sep 1, 2019 · The Growing Hierarchical Self-Organizing Map (GHSOM) algorithm has shown its potential for performing several tasks such as exploratory analysis, anomaly detection and forecasting on a variety of domains...
Rauber et al. proposed an basic algorithm of the growing hierarchical self organizing map (GHSOM)[4]. The algorithm has been chosen for this application for its capability to develop a hierarchical structure of cluste...
针对此问题,提出了一种基于改进的增长型分层自组织映射网络(GHSOM)的图像检索方法。 先将图像特征库用改进的GHSOM算法进行聚类,在图像检索时先在GHSOM网络模型上找到相似的类,然后在相似的类上继续进行检索,大大提高了检索效率。
Feb 14, 2025 · GHSOM(Growing Hierarchical Self-Organizing Map)算法,作为自组织映射(SOM)算法的一种变体,是一种高效的神经网络聚类算法。 在处理大数据和高维数据时,GHSOM展现出其独特的优势,成为大数据时代的数据分析和可视化的智慧之选。
Jun 5, 2024 · 结合证据推理DS理论,提出了基于Dempster-Shafer理论的GHSOM神经网络入侵检测方法,一方面处理数据不确定性中的随机性和模糊性问题,可以在噪音环境下保持良好的检测率,此外通过证据融合理论缩小数据集,有效控制网络的动态增长。