The Kohonen Algorithm: A Powerful Tool for Analysing and Representing Multidimensional Quantitative and Qualitative Data

机译：Kohonen算法：一种用于分析和代表多维定量和定性数据的强大工具

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The simultaneous analysis of quantitative and qualitative variables is not an easy task in general. When a linear model is appropriate, the Generalized Linear Models are commonly used with success. But when the intrinsic structure of the data is not at all linear, they give very poor and confusing results. In this paper, we extensively study how to use the (non linear) Kohonen maps to solve some of the interesting problems which are encountered in data analysis : how to realize a rapid and robust classification based on the quantitative variables, how to visualize the classes, their differences and homogeneity, how to cross the classification with the remaining qualitative variables to interpret the classification and put in evidence the most important explanatory variables.

机译：同时分析定量和定性变量不是一般的简单任务。当线性模型是合适的时，广义的线性模型通常与成功一起使用。但是，当数据的内在结构根本没有线性时，它们给出了非常差和令人困惑的结果。在本文中，我们广泛地研究了如何使用（非线性）kohonen地图来解决数据分析中遇到的一些有趣问题：如何基于定量变量实现快速和强大的分类，如何可视化类，它们的差异和同质性，如何与剩余的定性变量越过分类来解释分类并提出最重要的解释变量。

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《International work-conference on artificial and natural neural networks》|1997年||共11页
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Marie Cottrell; Patrick Rousset;
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中图分类神经生理学;
关键词
Kohonen maps; neural networks; general non linear models; multidimensional data analysis; classification;

机译：Kohonen地图;神经网络;一般非线性模型;多维数据分析;分类;

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The Kohonen Algorithm: A Powerful Tool for Analysing and Representing Multidimensional Quantitative and Qualitative Data

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