Self-Organizing Maps, Principal Components and Non-negative ...

Self-Organizing Maps, Principal Components and Non-negative ... Self-Organizing Maps, Principal Components and Non-negative ...

statistik.tuwien.ac.at
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05.04.2013 Views

Self Organizing Maps Principal Components, Curves and Surfaces Non-negative Matrix Factorization Principal Components Principal Curves Spectral Clustering Figure: A sample of 130 handwritten 3’s shows a variety of writing styles. Karoline Geissler Self-Organizing Maps, Principal Components and Non-negative M

Self Organizing Maps Principal Components, Curves and Surfaces Non-negative Matrix Factorization Principal Components Principal Curves Spectral Clustering Figure: the first two principal components of the handwritten threes Karoline Geissler Self-Organizing Maps, Principal Components and Non-negative M

<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 />

<strong>Principal</strong> <strong>Components</strong><br />

<strong>Principal</strong> Curves<br />

Spectral Clustering<br />

Figure: A sample of 130 h<strong>and</strong>written 3’s shows a variety of writing styles.<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

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