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Linear initialization

One initialization method takes advantage of the principal component (PCA) analysis of the input data. Principal component analysis is discussed more closely in Chapter 3. The codebook vectors are initialized to lie in the same input space that is spanned by two eigenvectors corresponding to the largest eigenvalues of the input data. This has the effect of stretching the Self-Organizing Map to the same orientation as the data having the most significant amounts of energy.

Jaakko Hollmen
Fri Mar 8 13:44:32 EET 1996