# The Genie++ Hierarchical Clustering Algorithm with Noise Points Detection

## Documentation for package ‘genieclust’ version 1.0.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

genieclust-package | The Genie++ Hierarchical Clustering Algorithm (with Extras)
adjusted_fm_score | Pairwise Partition Similarity Scores
adjusted_mi_score | Pairwise Partition Similarity Scores
adjusted_rand_score | Pairwise Partition Similarity Scores
bonferroni_index | Inequity (Inequality) Measures
emst_mlpack | Euclidean Minimum Spanning Tree
fm_score | Pairwise Partition Similarity Scores
gclust | The Genie++ Hierarchical Clustering Algorithm
gclust.default | The Genie++ Hierarchical Clustering Algorithm
gclust.dist | The Genie++ Hierarchical Clustering Algorithm
gclust.mst | The Genie++ Hierarchical Clustering Algorithm
genie | The Genie++ Hierarchical Clustering Algorithm
genie.default | The Genie++ Hierarchical Clustering Algorithm
genie.dist | The Genie++ Hierarchical Clustering Algorithm
genie.mst | The Genie++ Hierarchical Clustering Algorithm
genieclust | The Genie++ Hierarchical Clustering Algorithm (with Extras)
gini_index | Inequity (Inequality) Measures
mi_score | Pairwise Partition Similarity Scores
mst | Minimum Spanning Tree of the Pairwise Distance Graph
mst.default | Minimum Spanning Tree of the Pairwise Distance Graph
mst.dist | Minimum Spanning Tree of the Pairwise Distance Graph
normalized_accuracy | Pairwise Partition Similarity Scores
normalized_mi_score | Pairwise Partition Similarity Scores
pair_sets_index | Pairwise Partition Similarity Scores
rand_score | Pairwise Partition Similarity Scores