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7.-clustering.md

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7. Clustering

  1. Click on Clustering under the Machine Learning category.

  1. Model type: Select the type of Model you want to use.
  2. Allocate to: Specify the variable name to assign to the generated model.
  3. Code view: Preview the generated code.
  4. Run: Execute the code.

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.

GaussianMixture

  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.

DBSCAN

  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.