hSOM: Visualizing Self-Organizing Maps to Accomodate Categorical Data

机译：HSOM：可视化自组织地图以满足分类数据

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Kohonen’s self-organizing map is an unsupervised machine learning method designed to preserve the topology of its input space. Although this method has been used to efficiently summarize multidimensional data, the visualization of its constituent data has received less attention. We propose a method of addressing the visualization problem by augmenting a classical self-organizing map visualization to include an embedded histogram and evaluate its utility in depicting the self-organizing maps’s constituents categorized by a discrete variable.

机译：Kohonen的自组织地图是一种无监督的机器学习方法，旨在保留其输入空间的拓扑。虽然这种方法已被用于有效地总结多维数据，但其组成数据的可视化受到不太关注。我们提出了一种通过增强经典的自组织地图可视化来解决可视化问题的方法，以包括嵌入式直方图，并评估其在描绘由离散变量分类的自组织地图的组成部分来评估其实用程序。

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《International Conference Information Visualisation》|2020年|644-650|共7页
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Phillip C.S.R. Kilgore; Marjan Trutschl; Urška Cvek; Hyung W. Nam;
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关键词
Self-organizing feature maps; Histograms; Merging; Data visualization; Machine learning; Topology;

机译：自组织特征图;直方图;合并;数据可视化;机器学习;拓扑;

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专利

1. Visualized Analysis of Mixed Numeric and Categorical Data Via Extended Self-Organizing Map [J] . Hsu C.-C., Lin S.-H. Neural Networks and Learning Systems, IEEE Transactions on . 2012,第1期

机译：通过扩展的自组织映射可视化分析数字和分类数据
2. Visualization and clustering of categorical data with probabilistic self-organizing map [J] . Mustapha Lebbah, Khalid Benabdeslem Neural computing & applications . 2010,第3期

机译：使用概率自组织图对分类数据进行可视化和聚类
3. Visualization and clustering of categorical data with probabilistic self-organizing map [J] . Mustapha Lebbah, Khalid Benabdeslem Neural Computing & Applications . 2010,第3期

机译：带有概率自组织图的分类数据的可视化和聚类
4. Self-Organizing Maps for Categorical Data: Application to an ISO 9000Accreditation Assessment [C] . J.C.G.D.Costa, R.M. Ichinose, A.F.C. Infantosi, World congress on medical physics and biomedical engineering;International congress of the IUPESM . 2011

机译：自组织分类数据图：应用于ISO 9000认证评估
5. A software environment for visualizing high-dimensional data using contextual self-organizing maps linked with immersive virtual reality [D] . Richardson, Trevor Thomas 2013

机译：使用与沉浸式虚拟现实链接的上下文自组织映射图可视化高维数据的软件环境
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. DATA VISUALIZATION OF ASYMMETRIC DATA USING SAMMON MAPPING AND APPLICATIONS OF SELF-ORGANIZING MAPS [O] . Li Haiyan 2005

机译：基于SAMMON映射的不对称数据的可视化及自组织映射的应用

hSOM: Visualizing Self-Organizing Maps to Accomodate Categorical Data

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