Implementation of Kohonen neural network in java.

• help me to internalize the mathematical description of the algorithm.
• understand the algorithm intimately and discover parameter configurations.
• how the parameters of the algorithm influence its performance.
• experiment with various datasets and see the behaviour of the algorithm.
• track performance of the algorithm-implementation with different metrics.
• light preprocessing of dataset.
• explore opportunities to make the implementation more efficient.

The following parameters of the network can be set by a text file, its path given as command line argument:

• grid size
• learning rate
• standard deviation
• data dimension
• number of iterations

javac -d ./bin ./src/io/github/ghadj/kohonenneuralnetwork/*.java

java -cp ./bin io.github.ghadj.kohonenneuralnetwork.KohonenNNDriver <path to parameters' file>