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Figure 1 | BMC Bioinformatics

Figure 1

From: Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data

Figure 1

Benchmark. Our benchmark, consisting of three independent procedures. (1) Dimension reduction: Every dataset is mapped into a low-dimensional target space. All necessary parameters are determined by a loo-cv with a SVM. (2) Classification: Every dataset is classified by a SVM with Gaussian kernel during 100 randomization steps. A gradient descend procedure estimates all SVM parameters. (3) Cluster validation: The Davis-Bouldin-Index measures the distance between labeled clusters within the low-dimensional data.

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BMC Bioinformatics

ISSN: 1471-2105

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