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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.