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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.

Usage	Returns
`ee.Clusterer.wekaLVQ( numClusters , learningRate , epochs , normalizeInput )`	Clusterer

Argument	Type	Details
`numClusters`	Integer, default: 7	The number of clusters.
`learningRate`	Float, default: 1	The learning rate for the training algorithm. Value should be greater than 0 and less or equal to 1.
`epochs`	Integer, default: 1000	Number of training epochs. Value should be greater than or equal to 1.
`normalizeInput`	Boolean, default: false	Skip normalizing the attributes.

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Last updated 2024-09-19 UTC.

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