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: 7

The number of clusters.

learningRateFloat, default: 1

The learning rate for the training algorithm. (Value should be greaterthan 0 and less or equal to 1).

epochsInteger, default: 1000

Number of training epochs. (Value should be greater than or equal to 1).

normalizeInputBoolean, default: false

Skip normalizing the attributes.

Examples

JavaScript

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Python

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