neural_gas

[Neurons] = neural_gas(D,n,epochs,alpha0,lambda0)

NEURAL_GAS Quantizes the data space using the neural gas algorithm.

 Neurons = neural_gas(D, n, epochs, [alpha0], [lambda0])

   C = neural_gas(D,50,10);
   sM = som_map_struct(sD); 
   sM.codebook = neural_gas(sD,size(sM.codebook,1),10);

  Input and output arguments ([]'s are optional):
   D          (matrix) the data matrix, size dlen x dim
              (struct) a data struct
   n          (scalar) the number of neurons
   epochs     (scalar) the number of training epochs (the number of
                       training steps is dlen*epochs)
   [alpha0]   (scalar) initial step size, 0.5 by default
   [lambda0]  (scalar) initial decay constant, n/2 by default

   Neurons    (matrix) the neuron matrix, size n x dim

 See also SOM_MAKE, KMEANS.