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1 | 1 | #7. Clustering |
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7 | 5 | 1. Click on_**Clustering**_ under the_**Machine Learning**_ category. |
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13 | 9 | 2._**Model type**_: Select the type of Model you want to use. |
14 | 10 | *[KMeans / AgglomerativeClustering](7.-clustering.md#kmeans-agglomerativeclustering) |
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25 | 21 | ###KMeans / AgglomerativeClustering |
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31 | 25 | 1._**N clusters**_: Specify the number of clusters to be generated. |
32 | 26 | 2._**Random state**_: Set the seed value for the random number generator. |
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38 | 32 | ###GaussianMixture |
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44 | 36 | 1._**N components**_: Specify the number of Gaussian distributions to be used by the model to describe the data, determining how many clusters the data will be divided into. |
45 | 37 | 2._**Random state**_: Set the seed value for the random number generator. |
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51 | 43 | ###DBSCAN |
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57 | 47 | 1._**Eps (Epsilon)**_: Specify the maximum distance (radius) for forming clusters. |
58 | 48 | 2._**Min samples**_: Specify the minimum number of neighboring data points required for a point to be recognized as a cluster. |
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