compare_partitions |
Compare cluster memberships among multiple partitions |
cut_tree |
Cut a hierarchical tree |
dissimilarity |
Compute dissimilarity metrics (beta-diversity) between sites based on species composition |
dissimilarity_to_similarity |
Convert dissimilarity metrics to similarity metrics |
find_optimal_n |
Search for an optimal number of clusters in a list of partitions |
fishdf |
Spatial distribution of fish in Europe (data.frame) |
fishmat |
Spatial distribution of fish in Europe (co-occurrence matrix) |
fishsf |
Spatial distribution of fish in Europe |
hclu_diana |
Divisive hierarchical clustering based on dissimilarity or beta-diversity |
hclu_hierarclust |
Hierarchical clustering based on dissimilarity or beta-diversity |
hclu_optics |
OPTICS hierarchical clustering algorithm |
install_binaries |
Download, unzip, check permission and test the bioregion's binary files |
map_clusters |
Create a map of bioregions |
mat_to_net |
Create a data.frame from a contingency table |
netclu_beckett |
Community structure detection in weighted bipartite network via modularity optimization |
netclu_greedy |
Community structure detection via greedy optimization of modularity |
netclu_infomap |
Infomap community finding |
netclu_labelprop |
Finding communities based on propagating labels |
netclu_leadingeigen |
Finding communities based on leading eigen vector of the community matrix |
netclu_leiden |
Finding communities using the Leiden algorithm |
netclu_louvain |
Louvain community finding |
netclu_oslom |
OSLOM community finding |
netclu_walktrap |
Community structure detection via short random walks |
net_to_mat |
Create a contingency table from a data.frame |
nhclu_clara |
Non hierarchical clustering: CLARA |
nhclu_clarans |
Non hierarchical clustering: CLARANS |
nhclu_dbscan |
dbscan clustering |
nhclu_kmeans |
Non hierarchical clustering: k-means analysis |
nhclu_pam |
Non hierarchical clustering: partitioning around medoids |
partition_metrics |
Calculate metrics for one or several partitions |
similarity |
Compute similarity metrics between sites based on species composition |
similarity_to_dissimilarity |
Convert similarity metrics to dissimilarity metrics |
subset_node |
Extract a subset of node from a bioregion.clusters object |
vegedf |
Spatial distribution of Mediterranean vegetation (data.frame) |
vegemat |
Spatial distribution of Mediterranean vegetation (co-occurrence matrix) |
vegesf |
Spatial distribution of Mediterranean vegetation (spatial grid) |