ee.Clusterer.wekaLVQ

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.

UsageReturns
ee.Clusterer.wekaLVQ(numClusters, learningRate, epochs, normalizeInput)Clusterer
ArgumentTypeDetails
numClustersInteger, default: 7The number of clusters.
learningRateFloat, default: 1The learning rate for the training algorithm. Value should be greater than 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.