A Clusterer that implements the Learning Vector Quantization algorithm. For more details, see:

T. Kohonen, "Learning Vector Quantization", The Handbook of Brain Theory and Neural Networks, 2nd Edition, MIT Press, 2003, pp. 631-634.

ee.Clusterer.wekaLVQ(numClusters, learningRate, epochs, normalizeInput)Clusterer
numClustersInteger, default: 7The number of clusters.
learningRateFloat, default: 1The learning rate for the training algorithm. (Value should be greaterthan 0 and less or equal to 1).
epochsInteger, default: 1000Number of training epochs. (Value should be greater than or equal to 1).
normalizeInputBoolean, default: falseSkip normalizing the attributes.