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 />
The simplest version of the SOM<br />
The simplest version of the SOM<br />
Other version of the SOM<br />
Example<br />
Reconstruction Error<br />
two dimensional grid of K prototypes mj ∈ R p .<br />
Parametrize each of the K prototypes to an integer coordinate<br />
pair ℓj ∈ Q1 × Q2.<br />
Prototypes are like ”buttons”.<br />
Map the observations xi down onto a two-dimensional grid.<br />
Find the closest prototype mj to xi. (Euclidean distance)<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