Cluster data into two classes using SOM

I need to Cluster data of 1200 vectors (1200 X 500) using SOM in two dimensions x and y, so that X and y are separated with line to describe the 2 classes, the main class and the out-layers. I have written the following code for this purpose, but i feel i am not receiving the required results. Your Help is much appreciated.

clc
filename = 'FFW.txt';
delimiterIn = '\t';
All= importdata(filename,delimiterIn);

%   data - input data.
x = All.data;

% Create a Self-Organizing Map with 100 Neuron grid
dimension1 = 10;
dimension2 = 10;
net = selforgmap([dimension1 dimension2]);

% Train the Network on 50% of the input data 
net.trainParam.epochs = 2;
[net,tr] = train(net,x);

% Test the Network on 50% of the input data different from training data
y = net(x);

% View the Network
view(net);

% Plots : The result shows two main clusters in the resulting data
figure, plotsomnd(net);

Thank you Hope