1. Click on _**Clustering**_ under the _**Machine Learning**_ category.

2. _**Model type**_: Select the type of Model you want to use.

* [KMeans / AgglomerativeClustering](7.-clustering.md#kmeans-agglomerativeclustering)

1. _**N clusters**_: Specify the number of clusters to be generated.

2. _**Random state**_: Set the seed value for the random number generator.

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.

2. _**Random state**_: Set the seed value for the random number generator.

1. _**Eps (Epsilon)**_: Specify the maximum distance (radius) for forming clusters.

2. _**Min samples**_: Specify the minimum number of neighboring data points required for a point to be recognized as a cluster.

1. Click on _**Dimension**_ under the _**Machine Learning**_ category.

2. _**Model type**_: Select the type of model.

3. _**N components**_: Specify the desired number of dimensions to reduce the data to.