Cluster Evaluation on Graphs

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Documentation for package ‘clustAnalytics’ version 0.5.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

average_degree	Average Degree
average_odf	Average Out Degree Fraction
barabasi_albert_blocks	Generates a Barabási-Albert graph with community structure
boot_alg_list	Performs nonparametric bootstrap to a graph and a list of clustering algorithms
conductance	Conductance
contingency_to_membership_vectors	Computes possible membership vectors from contingency table
count_contingency_tables_log	Natural logarithm of the number of contingency tables
coverage	Coverage
cut_ratio	Cut Ratio
density_ratio	Density Ratio
edges_inside	Edges Inside
estimate_H_fraction_r_rows	Estimates |H_0|/|H_r*|
evaluate_significance	Evaluates significance of cluster algorithm results on a graph
evaluate_significance_r	Evaluates the significance of a graph's clusters
expansion	Expansion
FOMD	FOMD (Fraction Over Median Degree)
g_forex	Forex correlation network
igraph_to_edgelist	Returns edgelist with weights from a weighted igraph graph
internal_density	Internal Density
make_graph_weighted	Make graph weighted
max_odf	Max Out Degree Fraction
normalized_cut	Normalized cut
out_degree_fractions	Maximum, Average, and Flake Out Degree Fractions of a Graph Partition
reduced_mutual_information	Reduced Mutual Information
relabel	Relabels membership vector
rewireCpp	Randomizes a weighted graph while keeping the degree distribution constant.
scoring_functions	Scoring Functions of a Graph Partition
sort_matrix	Sort matrix
triangle_participation_ratio_communities	Triangle Participation Ratio (community-wise)
weighted_clustering_coefficient	Weighted clustering coefficient of a weighted graph.
weighted_transitivity	Weighed transitivity of a weighted graph.