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ee.Clusterer.wekaLVQ
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一种实现学习向量量化算法的聚类器。如需了解详情，请参阅以下文档：
T. Kohonen，“Learning Vector Quantization”，《The Handbook of Brain Theory and Neural Networks》，第 2 版，MIT Press，2003 年，第 631-634 页。
| 用法 | 返回 |
|---|
ee.Clusterer.wekaLVQ(numClusters, learningRate, epochs, normalizeInput) | 聚类器 |
| 参数 | 类型 | 详细信息 |
|---|
numClusters | 整数，默认值：7 | 聚类数量。 |
learningRate | 浮点数，默认值：1 | 训练算法的学习速率。值应大于 0 且小于或等于 1。 |
epochs | 整数，默认值：1000 | 训练周期数。值应大于或等于 1。 |
normalizeInput | 布尔值，默认值：false | 跳过对属性进行归一化处理。 |
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最后更新时间 (UTC)：2025-07-26。
[null,null,["最后更新时间 (UTC)：2025-07-26。"],[[["\u003cp\u003eImplements the Learning Vector Quantization (LVQ) algorithm for clustering data.\u003c/p\u003e\n"],["\u003cp\u003eUsers can specify the desired number of clusters, learning rate, training epochs, and input normalization.\u003c/p\u003e\n"],["\u003cp\u003eBased on the Kohonen's work as described in "The Handbook of Brain Theory and Neural Networks".\u003c/p\u003e\n"],["\u003cp\u003eThe algorithm learns by adjusting cluster prototypes based on the input data during training epochs.\u003c/p\u003e\n"],["\u003cp\u003eIt returns a Clusterer object that can be used to predict the cluster assignments for new data points.\u003c/p\u003e\n"]]],["The `ee.Clusterer.wekaLVQ` function implements the Learning Vector Quantization algorithm for clustering. It requires specifying the number of clusters (`numClusters`, default 7), the learning rate (`learningRate`, default 1, between 0 and 1), the number of training epochs (`epochs`, default 1000, at least 1), and whether to normalize the input attributes (`normalizeInput`, default false). The function returns a Clusterer object. The algorithm's details are described in a specific paper by T. Kohonen.\n"],null,["# ee.Clusterer.wekaLVQ\n\nA Clusterer that implements the Learning Vector Quantization algorithm. For more details, see:\n\n\u003cbr /\u003e\n\nT. Kohonen, \"Learning Vector Quantization\", The Handbook of Brain Theory and Neural Networks, 2nd Edition, MIT Press, 2003, pp. 631-634.\n\n| Usage | Returns |\n|----------------------------------------------------------------------------------------------|-----------|\n| `ee.Clusterer.wekaLVQ(`*numClusters* `, `*learningRate* `, `*epochs* `, `*normalizeInput*`)` | Clusterer |\n\n| Argument | Type | Details |\n|------------------|-------------------------|------------------------------------------------------------------------------------------------------|\n| `numClusters` | Integer, default: 7 | The number of clusters. |\n| `learningRate` | Float, default: 1 | The learning rate for the training algorithm. Value should be greater than 0 and less or equal to 1. |\n| `epochs` | Integer, default: 1000 | Number of training epochs. Value should be greater than or equal to 1. |\n| `normalizeInput` | Boolean, default: false | Skip normalizing the attributes. |"]]
