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GETTING STARTED
Installation
Basic Usage
THEORETICAL BACKGROUND
Introduction
General Algorithm
Feature Importance
TUTORIALS
Introduction to FGC: Simple Use Cases
Introduction to FGC: Comparison of Forest-Guided Clustering and Feature Importance
Special Case: Inference with FGC
Special Case: Impact of Model Complexity on FGC
Special Case: FGC for Big Datasets
API DOCUMENTATION:
fgclustering package
repository
open issue
Index
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C
calculate_global_feature_importance() (in module fgclustering.statistics)
calculate_local_feature_importance() (in module fgclustering.statistics)
calculate_statistics() (fgclustering.forest_guided_clustering.FgClustering method)
compute_balanced_average_impurity() (in module fgclustering.statistics)
compute_total_within_cluster_variation() (in module fgclustering.statistics)
F
fgclustering
module
FgClustering (class in fgclustering.forest_guided_clustering)
fgclustering.forest_guided_clustering
module
fgclustering.optimizer
module
fgclustering.plotting
module
fgclustering.statistics
module
fgclustering.utils
module
M
module
fgclustering
fgclustering.forest_guided_clustering
fgclustering.optimizer
fgclustering.plotting
fgclustering.statistics
fgclustering.utils
O
optimizeK() (in module fgclustering.optimizer)
P
plot_decision_paths() (fgclustering.forest_guided_clustering.FgClustering method)
plot_global_feature_importance() (fgclustering.forest_guided_clustering.FgClustering method)
plot_local_feature_importance() (fgclustering.forest_guided_clustering.FgClustering method)
proximityMatrix() (in module fgclustering.utils)
R
run() (fgclustering.forest_guided_clustering.FgClustering method)
S
scale_minmax() (in module fgclustering.utils)
scale_standard() (in module fgclustering.utils)