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. |