soft.fuzzy.unsupervised.granulation package

Subpackages

• soft.fuzzy.unsupervised.granulation.offline package
  • Submodules
  • soft.fuzzy.unsupervised.granulation.offline.expert module
    • apply_expert_partitioning()
    • expert_partitioning()
  • Module contents
• soft.fuzzy.unsupervised.granulation.online package
  • Submodules
  • soft.fuzzy.unsupervised.granulation.online.clip module
    • apply_categorical_learning_induced_partitioning()
    • categorical_learning_induced_partitioning()
    • center_and_sigma()
    • find_indices_to_closest_neighbors()
    • make_first_fuzzy_sets()
    • update_neighbor_sigma()
  • Module contents

Module contents

Contains the unsupervised learning algorithms for granulation.

soft.fuzzy.unsupervised.granulation.partitioning(dataset: SupervisedDataset, config: Config, algorithm: callable) → LinguisticVariables

A generic unsupervised learning partitioning interface that will apply the selected algorithm to produce linguistic variables from the dataset in accordance to the configuration.

Parameters:

• dataset – The dataset.

• config – The configuration settings.

• algorithm – The partitioning algorithm to use.

Returns:

Linguistic variables.

soft.fuzzy.unsupervised.granulation.partitioning_helper(tensor: Tensor, config: Config, algorithm: callable, terms: List[Type[ContinuousFuzzySet]] | None = None) → List[Type[ContinuousFuzzySet]]

Apply the selected partitioning algorithm to produce linguistic terms along the given space.

Parameters:

• tensor – The selected tensor from the dataset.

• config – The configuration settings.

• algorithm – The partitioning algorithm to use.

• terms – A list of terms to start from, if any.

Returns:

A list of fuzzy sets that inherit from ContinuousFuzzySet along the tensor space.