Skip to main content
Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

An Algorithm for Finding Biologically Significant Features in Microarray Data Based on A Priori Manifold Learning

Figure 3

Dunn Index applied on gene-by-gene manifold for different cancers.

The Dunn Index found using a priori manifold learning learning (Blue) compared with PCA (Green) and Isomap (Red) computed using the gene-by-gene affinity matrix.

Figure 3