Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

BestMatch	Match clusters with best partners
bidirected_t	Directed Network With Cycles of Size 2
CliqueCluster< R >	Clique Percolation Implementation
ClusterAlg< R >	Base class for all community detection algorithms
Compare	Set of cluster comparisons
complex_density< graph_t >	Weights simple_density measure with edge probability
CONGA< R >	Cluster Overlapping Newman Girvan Algorithm
COPRA< R >	Community Overlapping Propagation Algorithm
density< graph_t >	Interface for densities
directed_t	Directed Networks
dist	Compare two single clusters
entropy	Entropy measure for cluster similarity
FScore	Binary Classification measures
Interaction	Probabilistic measure
IterativeDensity< R >	Connected Iterative Scan
KCenter	Sampled Best Match
KL	Kullback-Leibler distance
L2	L2 distance measure
LCOMM< R >	Link Communities
moves	'Best Moves' similarity
Nation	Collection of communities
negative_density< graph_t >	For use in networks with negative edge weights
NMI	Normalized Mutual Information
normalized	Normalized version of best move
OSLOM< R >	Order Statistics Local Optimization Method
RRW< R >	Repeated Random Walks Implementation
seed	Potential Cluster
simple_density< graph_t >	Ratio of internal weights to internal+external weights
SLPA< R >	Speaker-Listener Label Propagation Algorithm
SSDE< R >	Sampled Spectral Distance Embedding
undirected_t	Undirected Networks