gemseo.mlearning.clustering.algos package

Clusterers.

This package includes clustering algorithms, a.k.a. clusterers.

Given an input data, a clusterer is used to group data into classes, a.k.a. clusters.

Wherever possible, these algorithms should be able to predict the class of a new data, as well as the probability of belonging to each class.

Use the ClustererFactory to access all the available clusterers or derive either the BaseClusterer or BasePredictiveClusterer class to add a new one.

Submodules

• gemseo.mlearning.clustering.algos.base_clusterer module
  • BaseClusterer
    • BaseClusterer.Settings
    • BaseClusterer.labels
    • BaseClusterer.n_clusters
• gemseo.mlearning.clustering.algos.base_clusterer_settings module
  • BaseClustererSettings
    • BaseClustererSettings.n_clusters
    • BaseClustererSettings.random_state
• gemseo.mlearning.clustering.algos.base_predictive_clusterer module
  • BasePredictiveClusterer
    • BasePredictiveClusterer.predict()
    • BasePredictiveClusterer.predict_proba()
• gemseo.mlearning.clustering.algos.factory module
  • ClustererFactory
• gemseo.mlearning.clustering.algos.gaussian_mixture module
  • Dependence
  • GaussianMixture
    • GaussianMixture.Settings
    • GaussianMixture.LIBRARY
    • GaussianMixture.SHORT_ALGO_NAME
• gemseo.mlearning.clustering.algos.gaussian_mixture_settings module
  • GaussianMixture_Settings
• gemseo.mlearning.clustering.algos.kmeans module
  • Dependence
  • KMeans
    • KMeans.Settings
    • KMeans.EPS
    • KMeans.LIBRARY
    • KMeans.SHORT_ALGO_NAME
• gemseo.mlearning.clustering.algos.kmeans_settings module
  • KMeans_Settings