Self-Organizing Maps, Principal Components and Non-negative ...
Self-Organizing Maps, Principal Components and Non-negative ...
Self-Organizing Maps, Principal Components and Non-negative ...
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<strong>Self</strong> <strong>Organizing</strong> <strong>Maps</strong><br />
<strong>Principal</strong> <strong>Components</strong>, Curves <strong>and</strong> Surfaces<br />
<strong>Non</strong>-<strong>negative</strong> Matrix Factorization<br />
Other version of the SOM<br />
The update step<br />
The simplest version of the SOM<br />
Other version of the SOM<br />
Example<br />
Reconstruction Error<br />
mk ← ml + αh(ℓj − ℓk)(xi − mk) (2)<br />
h... neighborhood function, which gives more weight to<br />
prototypes mk with indices ℓk closer to ℓl than to those<br />
further away.<br />
Karoline Geissler <strong>Self</strong>-<strong>Organizing</strong> <strong>Maps</strong>, <strong>Principal</strong> <strong>Components</strong> <strong>and</strong> <strong>Non</strong>-<strong>negative</strong> M