features lie on similar projected angles to the origin, and their distance
only affected by 'random variation'.
</p>
- <p> <img src="pasimapviewer.png">
+ <p> <img src="pasimapviewer.png" width="600px">
<p>
<strong>The PaSiMap Viewer</strong>
</p>
from i->j and j->i, conditioned matrix to be diagonalised,
tridiagonal form, major eigenvalues found)</li>
<li>Output Points - The eigenvector matrix - rows correspond to
- sequences, columns correspond to each dimension in the PCA</li>
+ sequences, columns correspond to each dimension of the projected space.</li>
<li>Transformed Points - The 3D coordinates for each sequence
as shown in the PaSiMap plot</li>
</ul>