Fast and user-friendly non-linear principal manifold learning by method of elastic maps

机译：弹性映射方法快速且用户友好的非线性主流形学习

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Method of elastic maps allows fast learning of nonlinear principal manifolds for large datasets. We present user-friendly implementation of the method in ViDaExpert software. Equipped with several dialogs for configuring data point representations (size, shape, color) and fast 3D viewer, ViDaExpert is a handy tool allowing to construct an interactive 3D-scene representing a table of data in multidimensional space and perform its quick and insightfull statistical analysis, from basic to advanced methods. We list several recent application examples of manifold learning by method of elastic maps in various fields of life sciences.

机译：弹性图的方法允许快速学习大型数据集的非线性主流形。我们在ViDaExpert软件中提供了该方法的用户友好实现。 ViDaExpert配备了几个用于配置数据点表示形式（大小，形状，颜色）和快速3D查看器的对话框，它是一种便捷的工具，可用于构建表示多维空间中数据表的交互式3D场景，并进行快速而全面的统计分析，从基本方法到高级方法。我们列出了在生命科学各个领域中通过弹性映射方法进行流形学习的几个最新应用示例。

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《IEEE International Conference on Data Science and Advanced Analytics》|2015年|1-9|共9页
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Gorban Alexander N.; Zinovyev Andrei;
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关键词
Approximation methods; Data visualization; Graphical user interfaces; Manifolds; Principal component analysis; Software;

机译：近似方法;数据可视化;图形用户界面;歧管;主成分分析;软件;

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4. Fast and user-friendly non-linear principal manifold learning by method of elastic maps [C] . Gorban Alexander N., Zinovyev Andrei IEEE International Conference on Data Science and Advanced Analytics . 2015

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5. Laplacian Eigenmaps Manifold Learning and Anomaly Detection Methods for Spectral Images. [D] . Munoz Reales, Marcela. 2010

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6. RRBSMAP: a fast accurate and user-friendly alignment tool for reduced representation bisulfite sequencing [O] . Yuanxin Xi, Christoph Bock, Fabian Müller, -1

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7. Elastic maps and nets for approximating principal manifolds and their application to microarray data visualization [O] . Er N. Gorban, Andrei Y. Zinovyev 2012

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Fast and user-friendly non-linear principal manifold learning by method of elastic maps

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